Digital processing systems and methods for data visualization extrapolation engine for item extraction and mapping in collaborative work systems

ABSTRACT

Systems, methods, and computer-readable media for extrapolating information display visualizations are disclosed. The systems and methods may involve maintaining a board with a plurality of items, each item defined by a row of cells, and wherein each cell is configured to contain data and is associated with a column heading; linking at least a first column to at least a second column so that a change in data in a cell of the at least first column causes a change in data of a cell in the at least second column; receiving a first selection of a particular item from the board, wherein the particular item includes a plurality of cells with data in each cell, and wherein data in a first cell of the plurality of cells is linked to data in a second cell of the plurality of cells; upon receipt of the first selection.

CROSS-REFERENCE TO RELATED APPLICATIONS

This application is based on and claims benefit of priority of U.S.Nonprovisional patent application Ser. No. 17/242,452 filed on Apr. 28,2021, which claims priority to U.S. Provisional Patent Application No.63/018,593, filed May 1, 2020, U.S. Provisional Patent Application No.63/019,396, filed May 3, 2020, U.S. Provisional Patent Application No.63/078,301, filed Sep. 14, 2020, U.S. Provisional Patent Application No.63/121,803, filed on Dec. 4, 2020, U.S. Provisional Patent ApplicationNo. 63/122,439, filed on Dec. 7, 2020, and U.S. Provisional PatentApplication No. 63/148,092, filed on Feb. 10, 2021, the contents of allof which are incorporated herein by reference in their entireties.

TECHNICAL FIELD

Embodiments consistent with the present disclosure include systems andmethods for collaborative work systems. The disclosed systems andmethods may be implemented using a combination of conventional hardwareand software as well as specialized hardware and software, such as amachine constructed and/or programmed specifically for performingfunctions associated with the disclosed method steps. Consistent withother disclosed embodiments, non-transitory computer-readable storagemedia may store program instructions, which may be executable by atleast one processing device and perform any of the steps and/or methodsdescribed herein.

BACKGROUND

Operation of modern enterprises can be complicated and time consuming.In many cases, managing the operation of a single project requiresintegration of several employees, departments, and other resources ofthe entity. To manage the challenging operation, project managementsoftware applications may be used. Such software applications allow auser to organize, plan, and manage resources by providingproject-related information in order to optimize the time and resourcesspent on each project. It would be useful to improve these softwareapplications to increase operation management efficiency.

SUMMARY

A dynamically changeable operating system for a workflow environment,the operating system comprising: at least one processor configured to:associate a user-ID with a workflow management account; maintain aplurality of workflow management boards associated with the workflowmanagement account; receive a first plurality of touch points associatedwith the user-ID; based on the first plurality of touch points,customize the workflow management account by initially altering at leastone of a column option picker, an automation option picker, athird-party application integration picker, a display interface picker,or a solution picker; monitor activity associated with the workflowmanagement account; receive, based on the monitoring, a second pluralityof touch points associated with the user-ID; and adjust the customizedworkflow management account by subsequently altering, based on thesecond plurality of touch points at least one of the column optionpicker, the automation option picker, the third-party applicationintegration picker, the display interface picker, or the solutionpicker.

A data extraction and mapping system, comprising: at least one processorconfigured to: maintain a main data source containing a plurality ofdata objects; maintain a plurality of boards for presenting theplurality of data objects; maintain a plurality of linkages between atleast some of the plurality of data objects associated with differingboards of the plurality of boards; receive a selection of a particulardata object associated with a particular board; identify via aparticular linkage of the plurality of linkages at least one additionaldata object on another board linked to the particular data object on theparticular board; define a sub-data source, the sub-data sourceaggregating the at least one additional data object and the particulardata object; receive a visualization template selection; map thesub-data source to the visualization template selection to generate asub-data visualization; and cause a co-presentation of a representationof the particular board and the sub-data visualization.

A system for extrapolating information display visualizations, thesystem comprising: at least one processor configured to: maintain aboard with a plurality of items, each item defined by a row of cells,and wherein each cell is configured to contain data and is associatedwith a column heading; link at least a first column to at least a secondcolumn so that a change in data in a cell of the at least first columncauses a change in data of a cell in the at least second column; receivea first selection of a particular item from the board, wherein theparticular item includes a plurality of cells with data in each cell,and wherein data in a first cell of the plurality of cells is linked todata in a second cell of the plurality of cells; upon receipt of thefirst selection, cause a display of an item interface extrapolator,wherein the item interface extrapolator includes a plurality ofactivatable elements, each of the activatable elements being associatedwith a differing visualization of at least some of the data contained incells associated with the particular item; receive a second selection ofone of the activatable elements; upon receipt of the second selection,cause a first extrapolated display of data associated with theparticular item to appear in a first manner; receive a third selectionof another of the activatable elements; and upon receipt of the thirdselection, cause a second extrapolated display of data associated withthe particular item to appear in a second manner.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a block diagram of an exemplary computing device which may beemployed in connection with embodiments of the present disclosure.

FIG. 2 is a block diagram of an exemplary computing architecture forcollaborative work systems, consistent with embodiments of the presentdisclosure.

FIG. 3 illustrates a first example of an interface for enabling a userto select various prompts which may be sent to a system as a pluralityof touch points associated with a user-ID, consistent with someembodiments of the present disclosure.

FIG. 4 illustrates a second example of an interface for enabling a userto select various prompts which may be sent to a system as a pluralityof touch points associated with a user-ID, consistent with someembodiments of the present disclosure.

FIG. 5 illustrates an example of an interface of a customized workflowmanagement account, consistent with some embodiments of the presentdisclosure.

FIG. 6 illustrates an example of an interface with a customized workflowmanagement account, consistent with some embodiments of the presentdisclosure.

FIG. 7 illustrates a block diagram of method 700 performed by aprocessor of a computer readable medium containing instructions,consistent with some embodiments of the present disclosure.

FIG. 8 illustrates an exemplary diagram of a main data source containinga plurality of data objects, consistent with some embodiments of thepresent disclosure.

FIGS. 9A & 9B illustrate an exemplary view of a plurality of linkagesbetween at least some of the plurality of data objects associated withdiffering boards, consistent with some embodiments of the presentdisclosure.

FIG. 10 illustrates an exemplary diagram of a sub-data sourceaggregating at least one additional data object and a particular dataobject, consistent with some embodiments of the present disclosure.

FIGS. 11A & 11B illustrate an exemplary visualization template selectionand a sub-data visualization, consistent with some embodiments of thepresent disclosure.

FIG. 12 illustrates an exemplary view of co-presentation of arepresentation of the particular board and the sub-data visualization,consistent with some embodiments of the present disclosure.

FIG. 13 illustrates an exemplary view of an index of a plurality ofvisualization templates where the received visualization templateselection may be based on a selection from the index, consistent withsome embodiments of the present disclosure.

FIG. 14 illustrates an exemplary view of a co-presentation to reflect anunfiltered representation of a particular board and a filteredrepresentation of a sub-data visualization upon receipt of a filterselection, consistent with some embodiments of the present disclosure.

FIG. 15 illustrates an exemplary block diagram for an exemplary methodfor a data extraction and mapping system, consistent with someembodiments of the present disclosure.

FIG. 16 illustrates an exemplary board with a plurality of items, eachitem defined by a row of cells, and wherein each cell is configured tocontain data and is associated with a column heading, consistent withsome embodiments of the present disclosure.

FIG. 17 illustrates an exemplary view of causing a display of an iteminterface extrapolator, wherein the item interface extrapolator mayinclude a plurality of activatable elements, consistent with someembodiments of the present disclosure.

FIG. 18 illustrates an exemplary view of, upon receipt of the secondselection, causing a first extrapolated display of data associated withthe particular item to appear in a first manner, consistent with someembodiments of the present disclosure.

FIG. 19 illustrates an exemplary view of, upon receipt of a thirdselection, causing a second extrapolated display of data associated withthe particular item to appear in a second manner, consistent with someembodiments of the present disclosure.

FIG. 20 illustrates an exemplary view of, upon receipt of a fourthselection, enabling customization of the interface extrapolator, whereinthe customization enables data associated with the particular item toappear in a third customized manner, consistent with some embodiments ofthe present disclosure.

FIG. 21 illustrates an exemplary view of storing one or more templatesof one or more of the third customized manners shown as a display optionwhen items other than the particular item are selected for analysis anddisplay within the interface extrapolator, consistent with someembodiments of the present disclosure.

FIG. 22 illustrates an exemplary migrating the item interfaceextrapolator for co-presentation with a representation other than theboard, consistent with some embodiments of the present disclosure.

FIG. 23 illustrates an exemplary view of a co-presentation to reflect anunfiltered representation of a board and a filtered representation of anitem interface extrapolator upon receipt of a filter selection,consistent with some embodiments of the present disclosure.

FIG. 24 illustrates an exemplary block diagram for an exemplary methodfor a data extraction and mapping system, consistent with someembodiments of the present disclosure.

DETAILED DESCRIPTION

Exemplary embodiments are described with reference to the accompanyingdrawings. The figures are not necessarily drawn to scale. While examplesand features of disclosed principles are described herein,modifications, adaptations, and other implementations are possiblewithout departing from the spirit and scope of the disclosedembodiments. Also, the words “comprising,” “having,” “containing,” and“including,” and other similar forms are intended to be equivalent inmeaning and be open ended in that an item or items following any one ofthese words is not meant to be an exhaustive listing of such item oritems, or meant to be limited to only the listed item or items. Itshould also be noted that as used herein and in the appended claims, thesingular forms “a,” “an,” and “the” include plural references unless thecontext clearly dictates otherwise.

In the following description, various working examples are provided forillustrative purposes. However, is to be understood the presentdisclosure may be practiced without one or more of these details.

Throughout, this disclosure mentions “disclosed embodiments,” whichrefer to examples of inventive ideas, concepts, and/or manifestationsdescribed herein. Many related and unrelated embodiments are describedthroughout this disclosure. The fact that some “disclosed embodiments”are described as exhibiting a feature or characteristic does not meanthat other disclosed embodiments necessarily share that feature orcharacteristic.

This disclosure presents various mechanisms for collaborative worksystems. Such systems may involve software that enables multiple usersto work collaboratively. By way of one example, workflow managementsoftware may enable various members of a team to cooperate via a commononline platform. It is intended that one or more aspects of anymechanism may be combined with one or more aspect of any othermechanisms, and such combinations are within the scope of thisdisclosure.

This disclosure is provided for the convenience of the reader to providea basic understanding of a few exemplary embodiments and does not whollydefine the breadth of the disclosure. This disclosure is not anextensive overview of all contemplated embodiments and is intended toneither identify key or critical elements of all embodiments nor todelineate the scope of any or all aspects. Its sole purpose is topresent some features of one or more embodiments in a simplified form asa prelude to the more detailed description presented later. Forconvenience, the term “certain embodiments” or “exemplary embodiment”may be used herein to refer to a single embodiment or multipleembodiments of the disclosure.

Certain embodiments disclosed herein include devices, systems, andmethods for collaborative work systems that may allow a user to interactwith information in real time. To avoid repetition, the functionality ofsome embodiments is described herein solely in connection with aprocessor or at least one processor. It is to be understood that suchexemplary descriptions of functionality applies equally to methods andcomputer readable media and constitutes a written description ofsystems, methods, and computer readable media. The platform may allow auser to structure the system in many ways with the same building blocksto represent what the user wants to manage and how the user wants tomanage it. This may be accomplished through the use of boards. A boardmay be a table with items (e.g., individual items presented inhorizontal rows) defining objects or entities that are managed in theplatform (task, project, client, deal, etc.). Unless expressly notedotherwise, the terms “board” and “table” may be considered synonymousfor purposes of this disclosure. In some embodiments, a board maycontain information beyond which is displayed in a table. Boards mayinclude sub-boards that may have a separate structure from a board.Sub-boards may be tables with sub-items that may be related to the itemsof a board. Columns intersecting with rows of items may together definecells in which data associated with each item may be maintained. Eachcolumn may have a heading or label defining an associated data type.When used herein in combination with a column, a row may be presentedhorizontally and a column vertically. However, in the broader genericsense as used herein, the term “row” may refer to one or more of ahorizontal and a vertical presentation. A table or tablature as usedherein, refers to data presented in horizontal and vertical rows, (e.g.,horizontal rows and vertical columns) defining cells in which data ispresented. Tablature may refer to any structure for presenting data inan organized manner, as previously discussed. such as cells presented inhorizontal rows and vertical columns, vertical rows and horizontalcolumns, a tree data structure, a web chart, or any other structuredrepresentation, as explained throughout this disclosure. A cell mayrefer to a unit of information contained in the tablature defined by thestructure of the tablature. For example, a cell may be defined as anintersection between a horizontal row with a vertical column in atablature having rows and columns. A cell may also be defined as anintersection between a horizontal and a vertical row, or an intersectionbetween a horizontal and a vertical column. As a further example, a cellmay be defined as a node on a web chart or a node on a tree datastructure. As would be appreciated by a skilled artisan, however, thedisclosed embodiments are not limited to any specific structure, butrather may be practiced in conjunction with any desired organizationalarrangement. In addition, a tablature may include any suitableinformation. When used in conjunction with a workflow managementapplication, the tablature may include any information associated withone or more tasks, such as one or more status values, projects,countries, persons, teams, progresses, a combination thereof, or anyother information related to a task.

While a table view may be one way to present and manage the datacontained on a board, a table's or board's data may be presented indifferent ways. For example, in some embodiments, dashboards may beutilized to present or summarize data derived from one or more boards. Adashboard may be a non-table form of presenting data, using for examplestatic or dynamic graphical representations. A dashboard may alsoinclude multiple non-table forms of presenting data. As discussed laterin greater detail, such representations may include various forms ofgraphs or graphics. In some instances, dashboards (which may also bereferred to more generically as “widgets”) may include tablature.Software links may interconnect one or more boards with one or moredashboards thereby enabling the dashboards to reflect data presented onthe boards. This may allow, for example, data from multiple boards to bedisplayed and/or managed from a common location. These widgets mayprovide visualizations that allow a user to update data derived from oneor more boards.

Boards (or the data associated with boards) may be stored in a localmemory on a user device or may be stored in a local network repository.Boards may also be stored in a remote repository and may be accessedthrough a network. In some instances, permissions may be set to limitboard access to the board's “owner” while in other embodiments a user'sboard may be accessed by other users through any of the networksdescribed in this disclosure. When one user makes a change in a board,that change may be updated to the board stored in a memory or repositoryand may be pushed to the other user devices that access that same board.These changes may be made to cells, items, columns, boards, dashboardviews, logical rules, or any other data associated with the boards.Similarly, when cells are tied together or are mirrored across multipleboards, a change in one board may cause a cascading change in the tiedor mirrored boards or dashboards of the same or other owners.

Various embodiments are described herein with reference to a system,method, device, or computer readable medium. It is intended that thedisclosure of one is a disclosure of all. For example, it is to beunderstood that disclosure of a computer readable medium describedherein also constitutes a disclosure of methods implemented by thecomputer readable medium, and systems and devices for implementing thosemethods, via for example, at least one processor. It is to be understoodthat this form of disclosure is for ease of discussion only, and one ormore aspects of one embodiment herein may be combined with one or moreaspects of other embodiments herein, within the intended scope of thisdisclosure.

Embodiments described herein may refer to a non-transitory computerreadable medium containing instructions that when executed by at leastone processor, cause the at least one processor to perform a method.Non-transitory computer readable mediums may be any medium capable ofstoring data in any memory in a way that may be read by any computingdevice with a processor to carry out methods or any other instructionsstored in the memory. The non-transitory computer readable medium may beimplemented as hardware, firmware, software, or any combination thereof.Moreover, the software may preferably be implemented as an applicationprogram tangibly embodied on a program storage unit or computer readablemedium consisting of parts, or of certain devices and/or a combinationof devices. The application program may be uploaded to, and executed by,a machine comprising any suitable architecture. Preferably, the machinemay be implemented on a computer platform having hardware such as one ormore central processing units (“CPUs”), a memory, and input/outputinterfaces. The computer platform may also include an operating systemand microinstruction code. The various processes and functions describedin this disclosure may be either part of the microinstruction code orpart of the application program, or any combination thereof, which maybe executed by a CPU, whether or not such a computer or processor isexplicitly shown. In addition, various other peripheral units may beconnected to the computer platform such as an additional data storageunit and a printing unit. Furthermore, a non-transitory computerreadable medium may be any computer readable medium except for atransitory propagating signal.

The memory may include a Random Access Memory (RAM), a Read-Only Memory(ROM), a hard disk, an optical disk, a magnetic medium, a flash memory,other permanent, fixed, volatile or non-volatile memory, or any othermechanism capable of storing instructions. The memory may include one ormore separate storage devices collocated or disbursed, capable ofstoring data structures, instructions, or any other data. The memory mayfurther include a memory portion containing instructions for theprocessor to execute. The memory may also be used as a working scratchpad for the processors or as a temporary storage.

Some embodiments may involve at least one processor. A processor may beany physical device or group of devices having electric circuitry thatperforms a logic operation on input or inputs. For example, the at leastone processor may include one or more integrated circuits (IC),including application-specific integrated circuit (ASIC), microchips,microcontrollers, microprocessors, all or part of a central processingunit (CPU), graphics processing unit (GPU), digital signal processor(DSP), field-programmable gate array (FPGA), server, virtual server, orother circuits suitable for executing instructions or performing logicoperations. The instructions executed by at least one processor may, forexample, be pre-loaded into a memory integrated with or embedded intothe controller or may be stored in a separate memory.

In some embodiments, the at least one processor may include more thanone processor. Each processor may have a similar construction, or theprocessors may be of differing constructions that are electricallyconnected or disconnected from each other. For example, the processorsmay be separate circuits or integrated in a single circuit. When morethan one processor is used, the processors may be configured to operateindependently or collaboratively. The processors may be coupledelectrically, magnetically, optically, acoustically, mechanically or byother means that permit them to interact.

Consistent with the present disclosure, disclosed embodiments mayinvolve a network. A network may constitute any type of physical orwireless computer networking arrangement used to exchange data. Forexample, a network may be the Internet, a private data network, avirtual private network using a public network, a Wi-Fi network, a LANor WAN network, and/or other suitable connections that may enableinformation exchange among various components of the system. In someembodiments, a network may include one or more physical links used toexchange data, such as Ethernet, coaxial cables, twisted pair cables,fiber optics, or any other suitable physical medium for exchanging data.A network may also include a public switched telephone network (“PSTN”)and/or a wireless cellular network. A network may be a secured networkor unsecured network. In other embodiments, one or more components ofthe system may communicate directly through a dedicated communicationnetwork. Direct communications may use any suitable technologies,including, for example, BLUETOOTH™, BLUETOOTH LE™ (BLE), Wi-Fi, nearfield communications (NFC), or other suitable communication methods thatprovide a medium for exchanging data and/or information between separateentities.

Certain embodiments disclosed herein may also include a computing devicefor generating features for work collaborative systems, the computingdevice may include processing circuitry communicatively connected to anetwork interface and to a memory, wherein the memory containsinstructions that, when executed by the processing circuitry, configurethe computing device to receive from a user device associated with auser account instruction to generate a new column of a single data typefor a first data structure, wherein the first data structure may be acolumn oriented data structure, and store, based on the instructions,the new column within the column-oriented data structure repository,wherein the column-oriented data structure repository may be accessibleand may be displayed as a display feature to the user and at least asecond user account. The computing devices may be devices such as mobiledevices, desktops, laptops, tablets, or any other devices capable ofprocessing data. Such computing devices may include a display such as anLED display, augmented reality (AR), virtual reality (VR) display.

Certain embodiments disclosed herein may include a processor configuredto perform methods that may include triggering an action in response toan input. The input may be from a user action or from a change ofinformation contained in a user's table, in another table, acrossmultiple tables, across multiple user devices, or from third-partyapplications. Triggering may be caused manually, such as through a useraction, or may be caused automatically, such as through a logical rule,logical combination rule, or logical templates associated with a board.For example, a trigger may include an input of a data item that isrecognized by at least one processor that brings about another action.

In some embodiments, the methods including triggering may cause analteration of data and may also cause an alteration of display of datacontained in a board or in memory. An alteration of data may include arecalculation of data, the addition of data, the subtraction of data, ora rearrangement of information. Further, triggering may also cause acommunication to be sent to a user, other individuals, or groups ofindividuals. The communication may be a notification within the systemor may be a notification outside of the system through a contact addresssuch as by email, phone call, text message, video conferencing, or anyother third-party communication application.

Some embodiments include one or more of automations, logical rules,logical sentence structures and logical (sentence structure) templates.While these terms are described herein in differing contexts, in abroadest sense, in each instance an automation may include a processthat responds to a trigger or condition to produce an outcome; a logicalrule may underly the automation in order to implement the automation viaa set of instructions; a logical sentence structure is one way for auser to define an automation; and a logical template/logical sentencestructure template may be a fill-in-the-blank tool used to construct alogical sentence structure. While all automations may have an underlyinglogical rule, all automations need not implement that rule through alogical sentence structure. Any other manner of defining a process thatrespond to a trigger or condition to produce an outcome may be used toconstruct an automation.

Other terms used throughout this disclosure in differing exemplarycontexts may generally share the following common definitions.

In some embodiments, machine learning algorithms (also referred to asmachine learning models or artificial intelligence in the presentdisclosure) may be trained using training examples, for example in thecases described below. Some non-limiting examples of such machinelearning algorithms may include classification algorithms, dataregressions algorithms, image segmentation algorithms, visual detectionalgorithms (such as object detectors, face detectors, person detectors,motion detectors, edge detectors, etc.), visual recognition algorithms(such as face recognition, person recognition, object recognition,etc.), speech recognition algorithms, mathematical embedding algorithms,natural language processing algorithms, support vector machines, randomforests, nearest neighbors algorithms, deep learning algorithms,artificial neural network algorithms, convolutional neural networkalgorithms, recursive neural network algorithms, linear machine learningmodels, non-linear machine learning models, ensemble algorithms, and soforth. For example, a trained machine learning algorithm may comprise aninference model, such as a predictive model, a classification model, aregression model, a clustering model, a segmentation model, anartificial neural network (such as a deep neural network, aconvolutional neural network, a recursive neural network, etc.), arandom forest, a support vector machine, and so forth. In some examples,the training examples may include example inputs together with thedesired outputs corresponding to the example inputs. Further, in someexamples, training machine learning algorithms using the trainingexamples may generate a trained machine learning algorithm, and thetrained machine learning algorithm may be used to estimate outputs forinputs not included in the training examples. In some examples,engineers, scientists, processes and machines that train machinelearning algorithms may further use validation examples and/or testexamples. For example, validation examples and/or test examples mayinclude example inputs together with the desired outputs correspondingto the example inputs, a trained machine learning algorithm and/or anintermediately trained machine learning algorithm may be used toestimate outputs for the example inputs of the validation examplesand/or test examples, the estimated outputs may be compared to thecorresponding desired outputs, and the trained machine learningalgorithm and/or the intermediately trained machine learning algorithmmay be evaluated based on a result of the comparison. In some examples,a machine learning algorithm may have parameters and hyper parameters,where the hyper parameters are set manually by a person or automaticallyby a process external to the machine learning algorithm (such as a hyperparameter search algorithm), and the parameters of the machine learningalgorithm are set by the machine learning algorithm according to thetraining examples. In some implementations, the hyper-parameters are setaccording to the training examples and the validation examples, and theparameters are set according to the training examples and the selectedhyper-parameters.

FIG. 1 is a block diagram of an exemplary computing device 100 forgenerating a column and/or row oriented data structure repository fordata consistent with some embodiments. The computing device 100 mayinclude processing circuitry 110, such as, for example, a centralprocessing unit (CPU). In some embodiments, the processing circuitry 110may include, or may be a component of, a larger processing unitimplemented with one or more processors. The one or more processors maybe implemented with any combination of general-purpose microprocessors,microcontrollers, digital signal processors (DSPs), field programmablegate array (FPGAs), programmable logic devices (PLDs), controllers,state machines, gated logic, discrete hardware components, dedicatedhardware finite state machines, or any other suitable entities that canperform calculations or other manipulations of information. Theprocessing circuitry such as processing circuitry 110 may be coupled viaa bus 105 to a memory 120.

The memory 120 may further include a memory portion 122 that may containinstructions that when executed by the processing circuitry 110, mayperform the method described in more detail herein. The memory 120 maybe further used as a working scratch pad for the processing circuitry110, a temporary storage, and others, as the case may be. The memory 120may be a volatile memory such as, but not limited to, random accessmemory (RAM), or non-volatile memory (NVM), such as, but not limited to,flash memory. The processing circuitry 110 may be further connected to anetwork device 140, such as a network interface card, for providingconnectivity between the computing device 100 and a network, such as anetwork 210, discussed in more detail with respect to FIG. 2 below. Theprocessing circuitry 110 may be further coupled with a storage device130. The storage device 130 may be used for the purpose of storingsingle data type column-oriented data structures, data elementsassociated with the data structures, or any other data structures. Whileillustrated in FIG. 1 as a single device, it is to be understood thatstorage device 130 may include multiple devices either collocated ordistributed.

The processing circuitry 110 and/or the memory 120 may also includemachine-readable media for storing software. “Software” as used hereinrefers broadly to any type of instructions, whether referred to assoftware, firmware, middleware, microcode, hardware descriptionlanguage, or otherwise. Instructions may include code (e.g., in sourcecode format, binary code format, executable code format, or any othersuitable format of code). The instructions, when executed by the one ormore processors, may cause the processing system to perform the variousfunctions described in further detail herein.

FIG. 2 is a block diagram of computing architecture 200 that may be usedin connection with various disclosed embodiments. The computing device100, as described in connection with FIG. 1, may be coupled to network210. The network 210 may enable communication between different elementsthat may be communicatively coupled with the computing device 100, asfurther described below. The network 210 may include the Internet, theworld-wide-web (WWW), a local area network (LAN), a wide area network(WAN), a metro area network (MAN), and other networks capable ofenabling communication between the elements of the computingarchitecture 200. In some disclosed embodiments, the computing device100 may be a server deployed in a cloud computing environment.

One or more user devices 220-1 through user device 220-m, where ‘m’ inan integer equal to or greater than 1, referred to individually as userdevice 220 and collectively as user devices 220, may be communicativelycoupled with the computing device 100 via the network 210. A user device220 may be for example, a smart phone, a mobile phone, a laptop, atablet computer, a wearable computing device, a personal computer (PC),a smart television and the like. A user device 220 may be configured tosend to and receive from the computing device 100 data and/or metadataassociated with a variety of elements associated with single data typecolumn-oriented data structures, such as columns, rows, cells, schemas,and the like.

One or more data repositories 230-1 through data repository 230-n, where‘n’ in an integer equal to or greater than 1, referred to individuallyas data repository 230 and collectively as data repository 230, may becommunicatively coupled with the computing device 100 via the network210, or embedded within the computing device 100. Each data repository230 may be communicatively connected to the network 210 through one ormore database management services (DBMS) 235-1 through DBMS 235-n. Thedata repository 230 may be for example, a storage device containing adatabase, a data warehouse, and the like, that may be used for storingdata structures, data items, metadata, or any information, as furtherdescribed below. In some embodiments, one or more of the repositoriesmay be distributed over several physical storage devices, e.g., in acloud-based computing environment. Any storage device may be a networkaccessible storage device, or a component of the computing device 100.

Aspects of this disclosure may relate a dynamically changeable operating(or platform) system for a workflow environment (e.g., the platformsystem dynamically changing the user's experience by customizing thepresentation of options specific to the user's needs), includingmethods, systems, devices, and computer readable media. For ease ofdiscussion, a system is described below, with the understanding thataspects of the system apply equally to non-transitory computer readablemedia, methods, and devices. To avoid repetition, the functionality ofsome embodiments is described herein solely in connection with aprocessor or at least one processor. It is to be understood that suchexemplary descriptions of functionality applies equally to methods andcomputer readable media and constitutes a written description ofsystems, methods, and computer readable media. For example, some aspectsof such a system may include at least one processor configured toperform a method via tablature. The term “tablature” may refer to atabular space, surface, or structure. Such spaces, surfaces, orstructures may include a systematic arrangement of rows, columns, and/orother logical arrangement of regions or locations for presenting,holding, or displaying information.

In a data management platform, it is important for users to customizethe user experience or operating system. For example, a workflowmanagement account may have various tables. However, these tables needto comply with user needs and customization of data management. Further,it is important for users to generate tables unique to theirspecifications. Given the numerous tools and workflows a user may bepresented with, a user may experience inefficiencies in deciding betweenwhich tools to use without knowing whether those are tools that are bestsituated for their use case. If a user begins using tools and realizesthat they picked the wrong one for their needs after spending timeworking with them, this makes processing data inefficient if the usercontinues using the incorrect tools or inefficiencies in time if theuser then has to browse and try other tools that might be bettersituated for their needs. By customizing the user experience oroperating system, the user may experience various efficiencies to theirbusiness or personal requirements. Identification of user touch pointsand adjusting accounts for customization of user experience acrossmultiple boards can be a difficult task. Merely using a pen and paper totrack changes to hundreds of boards and changes to an account or newtouch points would result in mistakes and multiple touch points beingignored. Although mental organizational tasks may be used, systems andmethods for dynamically changing an operating system in a workflowenvironment are lacking.

Therefore, there is a need for unconventional approaches to enable auser to have an adjusted customized workflow management account based ona plurality of touch points to be presented with relevant tools andsolutions based on the information gained in each of the touch points.Accordingly, by identifying touch points and monitoring activity, somedisclosed embodiments provide efficiencies in adjusting the customizedworkflow management account to present the most relevant tools andworkflows to a user and adapting to the user's activities. Additionally,the system described below may provide suggestions that can spare theuser time in building the table or workspace.

Aspects of some of the embodiments of this disclosure may include adynamically changeable operating system for a workflow environment. Adynamically changeable operating system may include a system thatcarries out operations in an adaptive manner, such as by automaticallyadapting to new inputs to carry out different operations. Thedynamically changeable operating system may be configured to carry outoperations for maintaining a virtual workflow environment that mayprocess information and data contained in a data structure, which theoperating system may act upon.

Some embodiments may involve associating a user-ID with a workflowmanagement account. A user-ID may include any identifying informationassociated with a user, any other entity (e.g., a team or a company),and/or of a device of any of the foregoing. For example, a user-ID mayinclude a string of characters, a string of numbers, a name, a phonenumber, an ID associated with an account, a client device identifier, aclient account identifier, or any other identifier. A workflowmanagement account may include any website or application where a usermay manage information, data, projects, tasks, or work. Associating auser-ID with a workflow management account may include linking a user-IDwith a workflow management account. By way of one example, a user mayutilize a workflow management system and open an account with a user-IDrelated to their name (e.g., user-ID=JaneSmith). In such an embodiment,the workflow management system may associate user-ID JaneSmith with aworkflow management account and also customize the user's workflowmanagement experience in response to any information provided by theuser, specific to the user-ID JaneSmith.

Some embodiments may include maintaining a plurality of workflowmanagement boards associated with the workflow management account. Aplurality of workflow management boards may include one or more tablesmade up of rows and columns containing cells for data management. In abroader sense, a board may include any of the board examples describedherein. Maintaining a plurality of workflow management boards mayinclude storing the plurality of workflow management boards and theirassociated information in a repository for storage and access. By way ofone example, the workflow management system may store multiple boardsassociated with a user-ID (e.g., JaneSmith). In some embodiments, a usermay generate the one or more boards associated with their user-ID fromscratch or the user may select various prompts to generate each boardfrom part of a template. In some embodiments, the workflow managementsystem may include multiple boards, networks of boards working together,columns, column stores, dashboard stores, and data objects accessible byand associated with multiple workflow management accounts (notnecessarily just for one workflow management account or user-ID).

Some embodiments may include receiving a first plurality of touch pointsassociated with the user-ID. A touch point may include any informationprovided to the system or identified by the system. By way of oneexample, the workflow management system may receive a plurality of touchpoints when users set up their accounts and provide information aboutthemselves or their projects. For example, each input from a user isconsidered a touch point, e.g., which field the user would like tomanage (law firm, hospital management, corporate business, or otherfield), which team the user would like to manage (marketing, R&D,sales), how large the team is, and solutions (particular workflows withcolumns, automations, integrations, or any combination thereof). Each ofthe inputs from a user may be a touch point.

FIG. 3 illustrates a first example of an interface enabling a user toselect various prompts which may be sent to a system as one or moretouch points associated with a user-ID. By way of one example, interface300 of FIG. 3 illustrates that the user may use pointer 302 to selectone of multiple answers to a question. Interface 300 provides the userwith a question—“What would you like to manage with Work OS?” Interface300 also provides ten options for the user to select from, including forexample, Project Management, Marketing, C R M and Sales, Creative andDesign, Software Development, Task Management, Construction, H R andRecruitment, IT, and 200+ Solutions (e.g., other options to selectfrom). Selecting any of these options may act as a touch point,specifically a primary touch point identifying a field. In response toselecting “CRM and Sales,” for example, the workflow management systemmay receive a plurality of touch points associated with the user'suser-ID.

In some embodiments, the first plurality of touch points may include aprimary touch point identifying a field, a secondary touch pointidentifying an endeavor, and a tertiary touch point identifying a tool.A field may include any category or vocational area. In someembodiments, the field the user would like to manage may include a fieldregarding any vocation, industry, or specialty such as a legal industry,hospital management, corporate business, or any other field. An endeavormay include any goal that the user would like to achieve for theworkflow management account, such as a financial profit and lossmanagement tool, a human resource employee management tool, a teammanagement tool, or any other task a user would like to pursue. In someembodiments, the endeavor may be selected by the user to indicatewhether the workflow management account is for personal or workprojects, the role the user may have on the project (e.g., team leader),which team the user would like to manage (marketing, R&D, sales), orsize of the team. A tool may include any system tool that can vary fromsimple data objects (e.g., a column, a table structure, and so on) orcomplex solutions that include any number or combination of differenttools such as data object structures and automations. The tools may beprovided as recommendations by the workflow management system inresponse to receiving information about the user's field and endeavors.In some embodiments, the tool the user selects may include solutionssuch as particular workflows with columns, automations, integrations,templates, or any combination thereof.

By way of one example, a system may receive a plurality of touch pointsassociated with a user-ID that may include the following: a selection of“Real Estate” by a user after the system prompts the user to choosewhich industry the user's board may relate to (e.g., a first touch pointidentifying a field), a selection of “100+” by a user after the systemprompts the user to indicate the number of people on her team (e.g., asecond touch point identifying an endeavor), and a selection of “RealEstate CRM template” by a user after the system prompts the user toselect a template for building a board (e.g., a third touch pointidentifying a tool).

FIG. 4 illustrates a second example of an interface enabling a user toselect various prompts which may be sent to a system as a plurality oftouch points associated with a user-ID. By way of one example, interface400 of FIG. 4 illustrates that the user may use pointer 302 to selectone of multiple answers to a series of questions in order for the systemto provide a customized workspace experience for the user that adapts toinputs provided by the user. In a non-limiting example, interface 300may be provided to the user with a presentation of a sentence havingmultiple blanks that may be filled in by the user. For example, thesentence may provide: “I'm here for (Work/Personal/School). I'm a(Business Owner/Team Leader/Team Member/Freelancer/Director) on the(Sales/HR/Creative/Marketing/Legal/Finance/IT/Multiple) team and I workwith (Only Me, 2-5, 6-10, 11-15, 16-25, 25-100, 101+) team members.” Forexample, by clicking on sentence 402 of FIG. 4, the user may fill ineach of the blanks and provide various touch points to the system. Inresponse to filling in the blanks with various answers (e.g., Work, TeamLeader, Sales, and 2-5), the workflow management system may receive aplurality of touch points associated with the user's user-ID.

Some embodiments may include, based on the first plurality of touchpoints, customizing the workflow management account by initiallyaltering at least one of a column option picker, an automation optionpicker, a third-party application integration picker, a displayinterface picker, or a solution picker. Customizing a workflowmanagement account may include the system adapting the original workflowmanagement account and interface in response to one or more touchpoints, such that the interface may present particular tools and optionsthat may be more relevant to the information received from the one ormore touch points. A column option picker may include a presentation ofa list of options for one or more column types (e.g., columns containingdata types for statuses, dates, timelines, contact information, and soon) for a workspace. An automation option picker may include apresentation of a list of options for automations (e.g., logicalsentence structures with conditional triggers that may act on data andotherwise trigger actions) in a system. A third-party applicationintegration picker may include a presentation of a list of options forthird-party application integrations for a workspace (e.g., integratinga third-party application with the workspace). A display interfacepicker may include a presentation of a list of options for one or morepresentations of information (e.g., bar chart, dynamic object displays,graphical batteries, summary statistics) for a workspace. A solutionpicker may include a presentation of a list of options for workflows ora package of pre-made features (e.g., simple to complex packages dataobjects such as columns, tables, dashboards, widgets, or a combinationthereof) in a system. A bundle of pre-made features may also bedescribed as a “solution.” A solution may include a combination of allfeatures (e.g., integration, automation, column picker, displayinterface, and so on) packaged together. A solution may be built from acombination of different building blocks in the system. Solutions may beany workflow functionality configured by any building blocks of thesystem and may be based on board templates that solve a specific usecase in one of the categories. A solution may include one or more boardsthat may be pre-interconnected, and may include pre-set dashboards withbuilt-in widgets that may be partially configured with the boards in thesolution.

By way of one example, if a first user selects “marketing” and “CRM”(customer relationship management) in interface 300 of FIG. 3, the usermay receive a platform with solutions fitted for these verticals. Theuser may be offered relevant templates, applications (e.g., an emailapplication that may be already installed for CRM or other verticals)shown in interface 500 of FIG. 5, relevant data types in the form ofcolumns, columns with pre-made titles and labels, suggested integrationsand more features that may be defined by the system as relevant to thatvertical (or cluster).

By way of another example, a user may set up a workflow managementaccount to track help desk ticket tracking projects on a single board ormultiple boards. The user may be tracking requests for technical supportin one board and customer services responses in another board, forexample. The user may indicate by a variety of touch points that theuser is working in the food industry, specifically in restaurantreservation systems. In response, the system may customize the workflowmanagement account by adapting a column option picker, adapting anautomation option picker, or third-party application integration pickerthat may be tailored towards resolving technical issues relating torestaurant reservation platforms. Specifically, the adapted columnoption picker may provide a suggestion to add a column to the help deskticket tracking board for “Status of Help Request.” Additionally, anadapted automation option picker may provide a suggestion to add anautomation to “Email technical support staff when a new row for a newcustomer support ticket has been added to the board.” Further, anadapted third-party application integration picker may provide asuggestion to add an integration to “integrate a communication via WebExto communicate with the customer.” Additionally, the system may providea suggestion to add a solution such as a template of a board for therestaurant industry or a suggestion to add a display interface that isuseful for those in the restaurant industry.

In some embodiments, a solution may be a template including acombination of three boards. For example, the system may provide anadapted solution picker as a customized experience that includes asolution with parts from multiple templates (e.g., Legal boardtemplates, project management board templates, and HR board templates),based on the provided touch points.

FIG. 5 illustrates an example of an interface of a customized workflowmanagement account with an altered solution picker, for example.Interface 500 of FIG. 5 provides multiple recommended templates tochoose from based on touch points received by interacting with interface300 of FIG. 3 and interface 400 of FIG. 4.4. The user may choose fromCRM template 502, Real Estate CRM template 504, Customers Projectstemplate 506, Contacts template 508, Support Sales Materials template510, Marketing Operations template 512, Project Management template 514,and Training template 516. Additionally, if the user would like to buildtheir own board from scratch, the user may select “Start from Scratch”button 518. Further, the user may search Templates Center 520 to findadditional recommended templates in various industries such aseducation, start up, design, construction, and more. As shown in FIG. 5,the user may use pointer 302 to select CRM template 502 to generate acustomized workflow environment with one or more boards related to CRM.

Some disclosed embodiments may include monitoring activity associatedwith the workflow management account. Monitoring activity may includetracking any changes or updates associated with an account or any actionmade by the user. By way of one example, the system may monitor whichareas of the board the user is most frequently using, by clicking,typing, updating, or hovering, in order to determine which areas of theboard are most useful to the user.

Some embodiments may include receiving, based on the monitoring, asecond plurality of touch points associated with the user-ID. A secondplurality of touch points may include any information provided to thesystem or identified by the system, as described previously above. Byway of one example, the workflow management system may receive a secondplurality of touch points when the user interacts with the account orthe board. For example, each input from a user may be considered a touchpoint (e.g., which template the user chooses, which columns the useradds to board generated by the recommended template, which columns areremoved, which integration is added, which area or the board the user ismost frequently using, or any other information identified by the systemor provided to the system). Each of the pieces of information derivedfrom the user may be a second plurality of touch points that may beprovided after the system received a first plurality of touch points.Additionally, any interaction with the system after the initial setup(e.g., field) to set up the team (e.g., marketing, R&D, sales, and soon) may be a second plurality of touch points.

In some embodiments, at least one of the first plurality of touch pointsand the second plurality of touch points are derived from responses toqueries. Responses to queries may include answers to questions, both ofwhich may be presented and received by the system. In some embodiments,the system may present an interface with a question/query to the user(e.g., which field, team, or solution would you like to manage with workOS?). Answers to the questions/queries can be presented in a variety ofways (e.g., checkbox, dropdown list, custom text input/look up). In someembodiments, the use may click a checkbox, select an option from adropdown list, or type into a textbox in order to provide a response toa query. The responses to the queries may be provided for any touchpoint received by the system.

By way of one example, interface 300 of FIG. 3 illustrates that the usermay use pointer 302 to select one of multiple checkboxes to provide aresponse to a query. Interface 300 provides the user with aquestion—“What would you like to manage with Work OS?” Interface 300also provides ten check boxes for the user to select from, including,Project Management, Marketing, C R M and Sales, Creative and Design,Software Development, Task Management, Construction, H R andRecruitment, IT, and 200+ Solutions (e.g., other options to selectfrom). Selecting any of these options may act as a first plurality oftouch points or a second plurality of touch points. By responding to aquery (clicking “CRM and Sales” by pointer 302), the workflow managementsystem may receive a first plurality of touch points or second pluralityof touch points associated with the user's user-ID.

In some embodiments, the queries may seek a field identification. Afield identification may include indicating any category or vocationalarea associated with the account or that the user would like to manage.In some embodiments, the field the user would like to manage may includeany field, such as legal, medical, corporate business, engineering, orany other field to provide a context to the system regarding the user'sintended workflow.

For example, interface 300 of FIG. 3 illustrates that the user may usepointer 302 to select one of multiple checkboxes to provide a responseto a query inquiring which field the user would like to manage withinthe Work OS.

In some embodiments, at least one of the first plurality of touch pointsand the second plurality of touch points may be derived from actionsmonitored in the workflow management account. Actions monitored mayinclude any interactions or activities identified by the system. Forexample, the system may identify actions taken in a board or dashboard.By way of one example, the system may recognize that the user isinputting a lot of budget information and salary information, which maycue the system to recognize the user is likely on a sales or projectmanagement team. Such actions may be monitored and may influence thesolutions presented to the user later, as opposed to touch points duringthe account set up phase. By way of another example, the system mayidentify that the user emails the project manager each time a new entryis added to the board. Upon monitoring actions on the board andidentifying such a pattern, the system may suggest adding an automationto automatically send an email to the project manager each time a newentry is added to the board without having the user take any furtheraction.

In some embodiments, the actions monitored may be associated with aplurality of entities and wherein actions of a first of the plurality ofentities may cause customization differing from customization caused byactions of a second of the plurality of entities. A plurality ofentities may include any one or more users or groups. Actions of a firstof the plurality of entities may include any interaction a first entitymay take with a board or account. Actions of a second of the pluralityof entities may include any interaction a second entity, different fromthe first entity, may take with the board or account. In someembodiments, the system may monitor activities such as tracking anychanges or updates associated with an account or any action made bymultiple groups or users. Further, the system may provide differentcustomization to the board based on which group provided the action. Insome embodiments, there may be groups of users that are related to eachother but may still get varying, customized experiences. By way of oneexample, a first entity may be from R&D (e.g., an engineer) and a secondentity may be from Marketing (e.g., a marketing analyst) within the samecompany in the medical device field. For example, the engineer or othersin R&D may be presented with a customization that presents tools andsolutions commonly used for R&D needs (such as product development).Additionally, the marketing analyst or others in Marketing may bepresented with a customization that presents differing tools andsolutions that may be better suited for Marketing needs (such as marketresearch). Even though both entities may have had the same first touchpoint to indicate they are from the same company (e.g., a medical devicecompany) and that first touch point may affect their customizations,they may still experience different customizations because their lateractions (after the first touch point) show that they require differentcustomizations.

Some embodiments may include adjusting the customized workflowmanagement account by subsequently altering, based on the secondplurality of touch points at least one of the column option picker, theautomation option picker, the third-party application integrationpicker, the display interface picker, or the solution picker. Adjustingthe customized workflow management account may include the systemadapting the already customized workflow management account andinterface in response to one or more secondary touch points to re-renderthe updated customized workflow management account. Adjusting thecustomized workflow management account may include altering thepreviously described column option picker, automation picker,third-party application integration picker, display interface picker,and/or the solution picker to present updated options for selection. Insome embodiments, adjusting the customized workflow management accountmay include readjusting the already adjusted/customized workflowmanagement account and interface. For example, options for each of thefeatures (column option picker, automation option picker, integrationpicker, display interface picker, and solution picker) may change tocustomize to workflows that are most relevant to the user. By way of oneexample, if the system determined the user is a customer caller bymonitoring activity associated with the workflow management account, thesystem may adjust the customized workflow management account by alteringthe third-party application integration picker to present all of thecommunication integrations (Zoom, Teams, and Skype) towards the top andleave out integrations typical to R&D (e.g., Matlab and statisticalanalysis).

FIG. 6 illustrates an example of an interface with a customized workflowmanagement account. After answering the questions presented in FIG. 3and FIG. 4 and selecting a template in FIG. 5 (all considered touchpoints), the system may provide the user with a customized board shownin interface 600 related to specific types of project the user may bemanaging. Board 602 and Board 606 are boards customized based on thetouch points collected from the user's interactions with the system andanswers to various questions. The user may also add new rows to theboards using “Add” button 604 and “Add” button 608. The user may alsouse pointer 302 to interact with the boards further and provide furthercustomization to the user experience and workflow management account.

Some disclosed embodiments may include permitting a plurality ofentities to have access to the plurality of workflow management boards,wherein the second plurality of touch points may include at least onetouch point received from a first entity of the plurality of entitiesand at least one touch point received from a second entity of theplurality of entities, and wherein the subsequent altering may result ina common visualization to both the first entity and the second entity.Permitting a plurality of entities to have access the plurality ofworkflow management boards may include allowing multiple users or groupsto interact with or view one or more workflow management boards. In someembodiments, workflow management boards may be a common workspace, acommon board, or a common dashboard where multiple people may user thesame space. A common visualization may include a unified presentation ofinformation contained in a workspace or account two which multipleentities may have access. No matter which entity impacted the alteringof the board, workspace, or account, both the first and second entitiesmay be able to access and view the common visualization as a result oftouch points provided by both the first and second entities. In someembodiments, the common visualization may also include a presentation ofsolutions and workflows (columns, automation packages, etc.) that areoffered in common to the first and second entities.

By way of one example, a plurality of entities (a team leader andmultiple team members) may have access to a board for a project they areall working on. Both of the entities, the team leader and the multipleteam members, interact with the board by hovering over certain columns,clicking certain cells, and deleting some rows. The interactions by thetwo entities may be the touch points received by the system. In responseto these interactions, the system may alter certain features offered onthe board (column option picker, automation option picker, integrationpicker, display interface picker, and solution picker). The board may bealtered in such a way as to provide a single, common visualization toboth the first entity (team leader) and the second entity (teammembers). Both entities may be able to view and access the same boardwith the same altered features no matter which entity impacted thealtering of the board, workspace, or account.

Some embodiments may include permitting a plurality of entities toaccess the plurality of workflow management boards, wherein the secondplurality of touch points may include at least one touch point receivedfrom a first entity of the plurality of entities and a touch pointreceived from a second entity of the plurality of entities, and whereinsubsequently altering may result in an altered customized visualizationfor the first entity different from an altered customized visualizationfor the second entity. An altered customized visualization may includere-rendering the customized visualization, as previously discussed, withalterations made to the customized visualization. In some embodiments,the altered customized visualizations may also include two presentationsof solutions and workflows (columns, automation packages, etc.) that arevaried and separately offered to the first and second entities based ontheir own touch points provided to the system. In such an embodiment,the system customizes the presentation of solutions to pick for each ofthe first and second users. For example, a plurality of entities (a teamleader and multiple team members) may have access to a board for aproject they are all working on. Both entities, the team leader and themultiple team members, may interact with the board by hovering overcertain columns, clicking certain cells, and deleting some rows. Theinteractions by the two entities may be considered touch points receivedby the system. In response to these interactions, the system may altercertain features offered on the board (column option picker, automationoption picker, integration picker, display interface picker, andsolution picker) for one of the entities based on their interactionswith the board and alter other features offered on the board (columnoption picker, automation option picker, integration picker, displayinterface picker, and solution picker) for the other entity based ontheir interactions with the board. The boards may be altered in such away as to provide two different altered customized visualization to thefirst entity (team leader) and the second entity (team members) based ontheir interactions with the board. Each entity may be able to view andaccess different boards with different altered features that may becatered to them based on their touch points and past actions.

Some embodiments may include receiving an additional plurality of touchpoints and further customizing the workflow management account based onan additional plurality of touch points. In some embodiments, the systemmay continue to receive touch points and may continue to customize theworkflow management account to generate a more customized experience forthe user. In other words, the customized workflow management account maycontinue to learn from the user's touch points and activities tocontinuously provide relevant tools, solutions, and visualizations toadapt to the user's activities and updates. In one embodiment,additional touch points may be from a modification of the field, team,or solutions set up, or may be based on actions taken in a board. Inanother example, where a user is adding multiple solutions, thecombination of solutions may lead the system to determine differentsolutions that are helpful in view of what the user has added (e.g., aconstantly learning system that continues to customize the optionspresented to the user).

Some disclosed embodiments may include analyzing behavior associatedwith the workflow management account, and deriving the second touchpoints based on the analysis of the behavior. Analyzing behavior mayinclude monitoring any interaction with a board, workflow, or account todetermine a user interaction, multiple user interactions, or patterns ofinteractions, which may be used for further processing, such as formaking updated recommendations of tools and solutions. By way of oneexample, the system may analyze behavior including any interaction theuser had in setting up the board. Additionally, the system may trackwhere the user may click in the workflow management account orworkspace. For example, if a user is constantly clicking between theboard and a dashboard to see summary information, the system may suggesta visualization in the board itself to help the user be more efficient.

FIG. 7 illustrates a block diagram of method 700 performed by aprocessor of a computer readable medium containing instructions,consistent with some disclosed embodiments. The block diagram includesan example and is not restrictive of the broader and alternativediscussions previously presented. In some embodiments, the method mayinclude the following steps:

Block 702: Associate a user-ID with a workflow management account. Insome embodiments, a system may associate an identifier, e.g., name,number, ID, client device, client account, associated with an accountfor a workflow management provider, as previously described, forexample.

Block 704: Maintain a plurality of workflow management boards associatedwith the workflow management account. In some embodiments, the systemmay have access to multiple tables associated with the account. Each ofthe tables may include rows, columns, and cells to manage data, aspreviously described, for example.

Block 706: Receive a first plurality of touch points associated with theuser-ID. In some embodiments, the system may receive data, such as touchpoints or answers to various questions, that are associated with theidentifier, as previously described, for example.

Block 708: Based on the first plurality of touch points, customize theworkflow management account by initially altering at least one of acolumn option picker, an automation option picker, a third-partyapplication integration picker, a display interface picker, or asolution picker. In some embodiments, the system may provide an updatedand personalized workflow management account with various differentoptions for customizing tables, as previously described, for example.

Block 710: Monitor activity associated with the workflow managementaccount. In some embodiments, the system may continue to monitor anyupdates or changes the user may make in the personalized workflowmanagement account, as previously described, for example.

Block 712: Receive, based on the monitoring, a second plurality of touchpoints associated with the user-ID. In some embodiments, the system mayreceive additional data, such as touch points or updates to the workflowmanagement account, that are associated with the identifier, aspreviously described, for example.

Block 714: Adjust the customized workflow management account bysubsequently altering, based on the second plurality of touch points atleast one of the column option picker, the automation option picker, thethird-party application integration picker, the display interfacepicker, or the solution picker. In some embodiments, in response to theadditional data, the system may provide an updated and personalizedworkflow management account with various different options forcustomizing tables, as previously described, for example.

Aspects of this disclosure may provide a technical solution tochallenges associated with collaborative work systems. Some disclosedembodiments include methods, systems, devices, and computer-readablemedia. For ease of discussion, an example system for data extraction andmapping system is described below with the understanding that aspects ofthe example system apply equally to methods, devices, andcomputer-readable media. For example, some aspects of such system may beimplemented by a computing device or software running thereon. Thecomputing device may include at least one processor (e.g., a CPU, GPU,DSP, FPGA, ASIC, or any circuitry for performing logical operations oninput data) to perform the example systems, as described above. Otheraspects of such systems may be implemented over a network (e.g., a wirednetwork, a wireless network, or both). As another example, some aspectsof such system may be implemented as operations or program codes in anon-transitory computer-readable medium. The operations or program codesmay be executed by at least one processor. Non-transitory computerreadable mediums, as described herein, may be implemented as anycombination of hardware, firmware, software, or any medium capable ofstoring data that is readable by any computing device with a processorfor performing methods or operations represented by the stored data. Ina broadest sense, the example systems are not limited to particularphysical or electronic instrumentalities, but rather may be accomplishedusing many differing instrumentalities.

Tools for data extraction and mapping system to map a sub-data sourceand a visualization template for co-presentation of a representation aparticular board and the sub-data visualization are lacking.Accordingly, some embodiments may include data extraction and mappingsystem with a main data source containing a plurality of data objectswhere a plurality of linkages between at least some of the plurality ofdata objects may be constructed to map a sub-data source and avisualization template selection to generate a sub-data visualization.The system may also cause a co-presentation of a representation aparticular board and the sub-data visualization. Some of theseembodiments may create efficiencies in the data processing, reduce costsassociated with memory, distributed memory, communication acrossmultiple networks, and increase reliability needed in processors.Further, some embodiments may improve accuracy in the generation ofsub-data visualizations.

Therefore, there is a need for unconventional methods, systems, devices,and computer-readable media for data extraction and mapping system. Thesystem may include maintaining a data source containing a plurality ofdata objects represented by a plurality of boards where a plurality oflinkages between at least some of the plurality of data objects may beconstructed to map a sub-data source and a visualization templateselection. Further, the system may generate a sub-data visualizationcausing a co-presentation of a representation a particular board and thesub-data visualization. By using the disclosed computerized method toascertain data extraction and mapping system, the embodiments provideadvantages over prior systems that merely provide data extraction andmapping.

Some disclosed embodiments may relate to a data extraction and mappingsystem having at least one processor (e.g., processor, processingcircuit or other processing structure described herein) in collaborativework systems, including methods, devices, and computer-readable media.Data may refer to any type of information such as numbers, texts,characters, formats, characteristics, qualitative or quantitativevariables, units, index, objects, metadata, constants, unstructuredinformation (e.g., web pages, emails, documents, pdfs, scanned text,mainframe reports, spool files, or any other unstructured information),tables, or any combination thereof. Data extraction may refer to theprocess of obtaining or retrieving data from one or more systems,databases, platforms, or any combination thereof. A mapping system mayrefer to a system configured to process of transforming data from onedatabase into another database (e.g., between systems, through arepresentation as GUI, or any combination thereof that may implement theuse of artificial intelligence/machine learning). For example, a systemmay be capable of extracting data from different data structure ordifferent data sets (e.g., data from different workflows or tables).

Some disclosed embodiments may involve maintaining a main data sourcecontaining a plurality of data objects. Maintaining a main data sourcemay refer to all sources of information that may be stored in a datarepository, a storage medium, or a database for one or more systems orplatforms. Each data object of the plurality of data objects may referto any object capable of containing data such as a cell, column, row,table, dashboard, widget, solution, or any combination thereof capableof dynamically or continuously storing, changing, adding, subtracting,modifying, transforming, rearranging, categorizing, or any combinationthereof of data contained in the data objects. The aggregation of thedata contained in each data objects may form the data in main datasource.

By way of example, the at least one processor may store the plurality ofdata objects in memory 120 in FIG. 1, the storage 130 in FIG. 1, orboth. FIG. 8 illustrates exemplary diagram of a main data sourcecontaining a plurality of data objects, consistent with some embodimentsof the present disclosure. FIG. 8 illustrates a system 800 having a maindata source 802 where data 804 from a plurality of data objects 806 maybe stored in the main data source 802. Furthermore, the plurality ofdata objects 806 may contain one or more data objects (i.e., “dataobject(s) 1,” “data object(s) 2,” “data object(s) 3” to “N^(th) dataobject(s)”).

Some disclosed embodiments may involve maintaining a plurality of boardsfor presenting the plurality of data objects. Maintaining a plurality ofboards may refer to one or more boards stored in a repository for accessat a later time, as discussed above. A board may represent a single dataobject having one or more other data objects. A board may contain alisting of data such as, for example, one or more tables, Gantt charts,calendars, pie charts, line charts, bar charts, 3D charts, forms, maps,density maps, scatter plots, bubble charts, tree maps, rain flow charts,timelines, tabs, filters, or any combination thereof. The plurality ofboards may include one or more identical or differing boards. Theplurality of boards may contain data from the plurality of data objects.Presenting the plurality of data objects may refer to displaying dataderived from the plurality of data objects on any device such as amonitor, touchscreen, projector, and so on.

By way of example, the at least one processor may store the plurality ofboards in memory 120 in FIG. 1, the storage 130 in FIG. 1, or both. Asillustrated in FIG. 8, the plurality of data objects 806 may bepresented by the at least one processor into the plurality of boards 808on any device. The plurality of data objects 806 may contain a firstdata object(s) 810 whose data set 812 may be represented as a firstboard 814 in the plurality of boards 808.

Some disclosed embodiments may involve maintaining a plurality oflinkages between at least some of the plurality of data objects that maybe associated with differing boards of the plurality of boards. Aplurality of linkages may refer to one or more relationships orassociation between one or more data objects that may be establishedmanually or automatically. Automatic linkages may be established basedon any characteristics of the data objects such as the informationcontained in the data objects (e.g., common contact information, commonentities), information associated with the data objects (e.g., columnheadings, author information of boards), or based on establisheddependencies between the data objects (e.g., mirrored columns that drawinformation from a first board to a second board or a rule or automationthat may link data objects). The plurality of linkages may include datafrom one or more data objects. A linkage may include shared data betweena first data object and a second data object or a first data object anda plurality of data objects via at least one link to access the shareddata. For example, data from one data object may be sent to another dataobject or vice versa. In some exemplary embodiments, where a first dataobject is a first cell on a first table and a second data object, thatis linked to the first data object, is a second cell in a second table,clicking on the first cell may initiate a transfer of data from thesecond cell to the first cell, or vice versa. At least some of theplurality of data objects may refer to a portion of or all of theplurality of data objects. Differing boards may refer to one or moreboards being identical or distinct from each other.

Some disclosed embodiments may involve at least some of the plurality ofdata objects associated with differing boards to include multiple dataobjects from each of the differing boards. Multiple data objects mayrefer to at least one or more data objects, as previously describedabove. The multiple data objects for each of the differing boards maycontain data that may be similar or different from each other. Dataobjects from a board may contain data associated with data objects fromone or more other differing boards. For example, the at least some ofthe plurality of data objects may include a first group of multiple dataobjects from a first board and a second group of multiple data objectsfrom a second board that differs from the first board.

By way of example, the system may store a plurality of linkages inmemory 120 in FIG. 1, the storage 130 in FIG. 1, or both. As illustratedin FIG. 8, the plurality of data objects 806 may include a first dataobject(s) 810, a second data object(s) 820 and an N^(th) data object(s)816. The plurality of data objects 806 may also include a plurality oflinkages 818 between the first data object(s) 810, the second dataobject(s) 820, the first data object(s) 810, and the N^(th) dataobject(s) 816.

Some disclosed embodiments may involve the plurality of linkages beingdefined by at least one of a folder, an automatic rule, a manuallydefined rule, a column heading, a row designation, a data cell value, oran item. A folder may refer to a virtual cabinet, tab, or anycombination thereof reserved for generating, defining, or storinginformation. A plurality of linkages associated with the at least someof the plurality of data objects may be based on the fact that some ofthe data objects contain information from the same folder that may havebeen established by a user or the system. An automatic rule may bereferred to as an automation or logical sentence structure, which may bea logical rule with one or more logical connectors, and configured toact on table data to produce an outcome. An automatic rule may also beconsidered as a “recipe” having a logical organization of elements forimplementing a conditional action. The automatic rule, for example, maybe in the form of a recipe, a template, or a sentence including one ormore triggering elements (also referred to herein as “triggers”) and oneor more action elements (also referred to herein as “actions”). Anautomatic rule may be configured to associate or link data contained inthe at least some of the plurality of data objects. The at least oneprocessor may independently generate the automatic rule in response toan input by the user that may not be associated with the establishmentof the plurality of linkages. A manually defined rule may be similar toan automatic rule, as described above; however, a user may define therule for associating or linking data contained in the at least some ofthe plurality of data objects. A row designation may refer toidentifying or recognizing an index or value that may define a row of atable having a plurality of columns and rows such as a row heading forexample. The row designation may be an index identifying the location ofthe row in the table or a title. A data cell value may refer to a valuecontained in one or more cells of a table. An item may refer to a dataobject (e.g., a row or a column) that may be represented by one or moretexts, numbers, expressions, titles, formats, color, or any combinationthereof in one or more rows, columns, or cells of a table. For example,the at least one processor may define the plurality of linkages betweena plurality of boards based on a common row designation that may befound in each of the plurality of boards. In another example, anautomatic rule may be configured to monitor conditions and/or act ondata in a first and a second board. Because the automatic rule isassociated with both the first and second boards, both boards may beconsidered linked via the automatic rule.

FIGS. 9A and 9B illustrate exemplary views of a plurality of linkagesbetween at least some of the plurality of data objects associated withdiffering boards, consistent with some embodiments of the presentdisclosure. FIG. 9A illustrates a first board 900 which may be table 902containing a first set of data objects 904 that includes a plurality ofcolumn headings, row designations, data cell values, and items. A usermay manually define an automatic rule for a plurality of linkagesbetween the first board 900 and a second board 906 through a second setof data objects 908 that may be mirrored from a second board 906, asshown in FIG. 9B as second board 914. Mirroring column 908 of FIG. 9Amay include generating an identical copy of a column from another board(status column 922 of FIG. 9B) such that when a cell of the column 908is altered, the same corresponding cell in column 922 will also bealtered, and vice versa. Because mirrored columns may be considered toinclude linkages between boards, an automatic rule may act conditionallyon data based on these linkages, such as a Date column of board 902 andthe mirrored column 908. FIG. 9B illustrates second board 914 which maybe a table 916. The second board 914 may contain the second data objects918 in FIG. 9B that are mirrored (e.g., linked such that data in themirrored column is automatically updated in any location the mirroredcolumn exists) into the second set of data objects 908 of the firstboard 902 of FIG. 9A.

Some disclosed embodiments may involve receiving a selection of aparticular data object associated with a particular board. Receiving aselection of a particular data object may include receiving an inputfrom an interface (e.g., a mouse, keyboard, touchscreen), which in someembodiments, may indicate an intent to manipulate information in aspecific data object or a specific board. For example, the at least oneprocessor may receive a selection from a user selecting one or more dataobjects such as cells, columns, rows, column headings, items, rowdesignations, data cell values, or any combination thereof that may beassociated with a particular data object in a particular board.

Some disclosed embodiments may involve identifying via a particularlinkage of the plurality of linkages at least one additional data objecton another board linked to the particular data object on the particularboard. Identifying an additional data object on another board via aparticular linkage may include the system making a determination that anadditional data object on another board is associated with a selecteddata object. This determination may be based on any of the previouslydescribed links such as through a characteristic of data contained. Forexample, a user may select a particular data object in a particularboard, and the at least one processor may identify a particular linkagebetween the particular data object and one or more additional dataobjects associated with another board of the user or to a differentuser. For example, in an exemplary embodiment, a user may select a cellon one table and the processor may detect a link, or identify a linkage,between that cell and another cell in a different (or same table).

Some disclosed embodiments may involve defining a sub-data source wherethe sub-data source may aggregate the at least one additional dataobject and the particular data object. A sub-data source may include asubset of the main data source based on a certain criterion such dataobjects that are associated with a selected data object. The associateddata objects may be based on a particular link or based on a pluralityof linkages in order to form a sub-data source. The sub-data source maybe an aggregate of a particular data object and its associatedadditional data objects that may be from other boards, such that thesub-data source may be stored in a repository for later access andreduce the need for re-generating the sub-data source. Depending on thecontext, the activity, or the operation related to one or more boardshaving at least some of the plurality of data objects and plurality oflinkages, the at least one processor may dynamically or simultaneouslystore data from the main data source into a sub-data source. Forexample, the at least one processor may define a sub-data source basedon a user's generation of one or more boards. The one or more boards mayhave a plurality of data objects that may or may not have a plurality oflinkages, which the at least one processor may aggregate into thesub-data source that may be accessed later.

By way of example, the system may store a sub-data source in memory 120in FIG. 1, the storage 130 in FIG. 1, or both. FIG. 10 illustrates anexemplary diagram of a sub-data source aggregating at least oneadditional data object and a particular data object, consistent withsome embodiments of the present disclosure. FIG. 10 illustrates a blockdiagram 1000 having a plurality of data objects 1002. The plurality ofdata objects 1002 may contain a particular data object 1004 and threeadditional data objects 1006. The particular data object 1004 may beassociated with a particular board 1008, and the three additional dataobjects 1006 may be associated with their respective additional boards1010. The particular data object 1004 and the three additional dataobjects 1006 may share a plurality of linkages 1012. The particular dataobject 1004, the three additional data objects 1006, and the pluralityof linkages 1012 may be stored in sub-data source 1014. In otherinstances, a particular linkage may result in a different subset ofadditional data objects that are aggregated with the particular dataobject to form the sub-data source. If for example, a selected dataobject is a cell containing information about a particular individualand the particular individual is only found in one additional dataobject of “Board 2” 1016 of the additional boards 1010, then thesub-data source may be an aggregate of just the particular data object1004 of the particular board 1008 and the second data object 1018 of“Board 2” 1016 through the particular linkage involving the informationpertaining to that particular individual.

Some disclosed embodiments may involve receiving a visualizationtemplate selection. Receiving a visualization template selection mayrefer to receiving an input through any interface (e.g., mouse,keyboard, touchscreen) via a GUI window indicating an intent to select avisual template for representing data. The visualization template may beselected from a predefined list of varying visualization templates ormay be customized that may involve multiple visualizations. Thevisualization template selection may be indicated by the user byclicking a tab or a button on a board. The visualization templateselection may be a separate and distinct GUI from the boards. Thevisualization template selection may be integrated inside the boards.The visualization template selection may allow the user to select aplurality of widgets to add and place in specific locations inside theGUI window. A widget may be an example of a visual representation ofdata such as one or more progress bars, graphical batteries, levelindicator, tables, Gantt charts, calendars, pie charts, line charts, barcharts, 3D charts, forms, maps, density maps, scatter plots, bubblecharts, tree maps, rain flow charts, timelines, to do lists, numbers,time trackers, workload displays, dynamic object displays, count-downdisplays, or any combination thereof. The visualization templateselection may allow a user to place one or more widgets or othervisualizations in the GUI window according to the user's preference. Thevisualization template selection may be stored in memory by the at leastone processor for later use for any sub-data sources that areaggregated.

By way of example, the at least one processor may store thevisualization template selection in memory 120 in FIG. 1, the storage130 in FIG. 1, or both. FIG. 11A illustrates exemplary visualizationtemplate selection, consistent with some embodiments of the presentdisclosure. FIG. 11A illustrates a GUI 1100A for visualization templateselections having a GUI window 1102A. A user may activate the GUI 1100Afor a visualization template selection by clicking on, for example, an“Add View” tab 922 in FIG. 9B. In FIG. 11A, the user may select abattery status widget 1104A to be placed at the top left, a llama farmstatus widget 1106A to be placed at the top right, a Gantt chart widget1108A to be placed under both the batter status widget 1104A and thellama farm status widget 1106A, and a bar chart widget 1110A to beplaced under the Gant chart widget 1108A in the GUI window 1102A. Theplacements of any of the widgets or visualizations may be arranged inany matter according to a preset (default) arrangement, a randomarrangement, or an arrangement according to user preference. Further,the particular widgets and visualizations implemented may be selected bya user and may also be removed according to user preference.

Some disclosed embodiments may involve mapping the sub-data source tothe visualization template selection to generate a sub-datavisualization. A sub-data visualization may refer to a presentation orvisualization of information contained in the sub-data source asdiscussed previously above. The sub-data visualization may involvemapping the sub-data source to the selected visualization templates asdiscussed above either manually (e.g., through settings to match dataobjects to aspects of visualizations) or automatically (e.g., throughmachine learning or through auto-recognition). The at least oneprocessor may map the data contained in the sub-data source fortransformation into a visual representation that may include one or morevisualizations to provide summary or detail information of the datacontained in the sub-data source.

By way of example, the at least one processor may store the data-sourcevisualization in memory 120 in FIG. 1, the storage 130 in FIG. 1, orboth. FIG. 11B illustrates an exemplary sub-data visualization,consistent with some embodiments of the present disclosure. FIG. 11Billustrates a sub-data visualization 1100B having a GUI window 1102B. Auser may map a sub-data source to the selected visualization templatesshown in GUI 1100A in FIG. 11A to generate the sub-data visualization1100B in FIG. 11B.

Some disclosed embodiments may involve the sub-data visualization beingpresented within a container, and where the at least one processor maybe configured to associate a computing application to the sub-datasource to thereby alter the sub-data visualization. A container mayrefer to a dynamic window or canvas containing one or more widgetscapable of being presented or viewed alongside one or more tables withina board when the user may select an item in the table of the board. Thecontainer may disappear, minimize, or may be prevented from beingpresented or viewed alongside the one or more tables within the boardwhen the user unselects the item in the table. The container may presentthe sub-data visualization, as discussed above. A computer applicationmay refer to any application such as a customized application generatedwithin the system or any external applications such as the suit ofMicrosoft™ applications, Google™ webpages and applications, Facebook™,Twitter™, or any other computer related applications. For example, auser may add a widget associated with Microsoft™ Word and Excel to anexisting sub-data visualization for the at least one processor to appenddata contained in the widget associated with Microsoft™ Word and Excelto the sub-data source. The at least one processor may further alter thesub-data visualization to reflect the appended data contained in thewidget associated with Microsoft™ Word and Excel.

Some disclosed embodiments may involve causing a co-presentation of arepresentation of the particular board and the sub-data visualization. Aco-presentation of a representation of the particular board and thesub-data visualization may refer to the at least one processorsimultaneously presenting a particular board and a sub-datavisualization associated with the particular board on a GUI. The atleast one processor may also simultaneously display the particular boardand the sub-data visualization of another board linked (referring to theplurality of linkages) or not linked to the particular board. Forexample, a particular board may include a table containing one or moreparticular data objects. The at least one processor may cause aco-presentation of the table in the board and a timeline chart in asub-data visualization for the board. In another example, the at leastone processor may cause a co-presentation of the table in the boardlinked to another board and a Gantt chart of the other board in thesub-data visualization. In yet another example, the at least oneprocessor may cause a co-presentation of a first sub-data visualization,a second sub-data visualization, and a table in a particular board.

By way of example, FIG. 12 illustrates exemplary view of co-presentationof a representation of the particular board and the sub-datavisualization, consistent with some embodiments of the presentdisclosure. As illustrated in FIG. 12, the at least one processor maycause a co-presentation 1200 of a particular board 1208 having a tableand a sub-data visualization 1206 having a Gantt chart. Theco-presentation 1200 may be accessed or minimized by a user clicking tab1202. The particular board 1208 having the table may be associated with“Board 1” 1204. It is to be understood this is one non-limiting exampleat that the sub-data visualization 1206 may present any sub-datavisualization such as those illustrated in FIG. 11A (in an unconfiguredstate) or in FIG. 11B (in a configured state) in a co-presentation 1200as shown in FIG. 12.

Some disclosed embodiments may further involve presenting an index of aplurality of visualization templates, and where the receivedvisualization template selection may be based on a selection from theindex. The plurality of visualization templates may all be displayed bythe at least one processor to a user on a GUI window for a particularboard in the form of an index. An index of a plurality of visualizationtemplates may refer to any listing of visualization templates, such asthrough a marketplace, a list (e.g., a full list or a drop-down), orthrough a look up in a search bar, or any combination thereof. The indexof the plurality of visualization templates may be a preset list fromthe system, or the index may also be dynamic in that it may include newvisualization templates added to the system (e.g., customizedvisualizations generated by users or by the administrator). For example,the at least one processor may have stored a user's prior establishedplurality of visualization templates to apply to one or more particularboards. The combination of the visualization templates used may bestored as a newly added visualization template for the index, which maybe accessed by other users, or just to the user who generated the newlyadded visualization template.

By way of example, the at least one processor may store the index of aplurality of visualization templates in memory 120 in FIG. 1, thestorage 130 in FIG. 1, or both. FIG. 13 illustrates exemplary view of anindex of a plurality of visualization templates where the receivedvisualization template selection may be based on a selection from theindex, consistent with some embodiments of the present disclosure. Asillustrated in FIG. 13, GUI window 1300 may display an index of aplurality of visualization templates 1302 as a matrix with elements 1thru M. A user may make a visualization template selection 1304 from theindex of a plurality of visualization templates 1302 for mapping to asub-data source's plurality of data objects.

Some disclosed embodiments may involve the at least one processor tofurther be configured to migrate the sub-data visualization forco-presentation with a representation other than the representation ofthe particular board. Migrating a sub-data visualization may refer tomoving or transferring a sub-data visualization with a co-presentationfrom one representation of information to another. A representationother than the representation of the particular board may include arepresentation associated with a particular board, aside from thepresentation of the particular board itself. For example, while aparticular board may be presented in a table form, the particular boardmay be represented in another form such as a Gantt chart, dashboard, orany other different view that is not in a table form. As such, thesub-data visualization of the sub-data source may be presented in aco-presentation with not merely just the representation of theparticular board in a table form, but other representations of theinformation contained in the particular board.

As illustrated in FIG. 14, a co-presentation 1400 may be displayed bythe at least one processor with a horizontal split 1402. In someinstances, the co-presentation may include both a representation of aparticular board 1406 in table form, and another representation otherthan the representation of the particular board as shown by Gantt view1404. A sub-data visualization (e.g., 1100B of FIG. 11B) may be in aco-presentation with a particular board 1406, or the sub-datavisualization may be migrated to be in co-presentation with arepresentation other than a representation of the particular board, suchas Gantt view 1404.

Some disclosed embodiments may involve the at least one processorfurther configured to, upon receipt of a filter selection, cause theco-presentation to reflect an unfiltered representation of theparticular board and a filtered representation of the sub-datavisualization. A filter selection may refer to a selection received fromany interface to indicate an intent to filter any information. A filtermay refer to any higher-order function or method that may process anoriginal data object (e.g., items in a list, items in a column, items arow, items in table, items in a chart, items in a map, items in adisplay, or any combination thereof) in some order to produce a new dataobject containing a subset of the elements of the original data objectin another form, order, or display to present information related to thefilter. The filter may be displayed as a GUI window containing aplurality of drop-down menus, drop-down lists, list boxes, radio buttonsor any combination thereof for a user to select from and filter the datain the data structure. An unfiltered representation of the particularboard may refer to the presentation of a specific table without anapplied a filter selection which may be the specific board in itsoriginal or unaltered format. A filtered representation of the sub-datavisualization may refer to a re-rendered presentation of the sub-datavisualization based on the filter selection, as discussed above. Forexample, the at least one processor may cause the display of aco-presentation via a horizontal split or a vertical spit of anunfiltered representation of a particular board in a first split and afiltered representation of the sub-data visualization in a second splitof the co-presentation. Some disclosed embodiments may involve thefiltered representation being limited by a time period. A time periodmay refer any metric of time such as a period by minutes, hours, days,weeks, months, years, or any combination thereof. For example, the atleast one processor may limit the data displayed in the filteredrepresentation of the sub-data visualization by weeks such that atimeline may display tasks by weeks in a given one or more months. Thefilter by time period may work in conjunction with other filterselections a user may make.

By way of example, FIG. 14 illustrates exemplary view of aco-presentation to reflect an unfiltered representation of a particularboard and a filtered representation of a sub-data visualization uponreceipt of a filter selection, consistent with some embodiments of thepresent disclosure. As illustrated in FIG. 14, co-presentation 1400 maybe displayed by the at least one processor with a horizontal split 1402,a filtered representation of a sub-data visualization 1404 located abovethe horizontal split 1402, and an unfiltered representation of aparticular board 1406 located below the horizontal split 1402. Theunfiltered representation of the particular board 1406 may be a tablethat may contain data associated with another board. The filteredrepresentation of the sub-data visualization 1404 may be filtered bymaking selections in the filter 1408 containing a plurality of drop-downmenus or any other selection methods. The system may receive a filterselection 1410 from a user to re-render the visualization to presentinformation relevant to any combinations of filter selections. The atleast one processor may also display or re-render the filteredrepresentation of the sub-data visualization 1404 based on a selection1412 to the limit the display of time on the timeline by “Days.”

Some disclosed embodiments may involve the at least one processorfurther configured to limit the filtered representation that may belimited by a specific aspect of the particular data object. A specificaspect of a data object may refer to any characteristics associated withany data object, such as the information contained in the data object,metadata associated with the data object (e.g., a timestamp of theestablishment of the data object and/or the author of the data object),the position of the data object, a heading associated with the dataobject, or any other characteristics that may be associated. Forexample, the at least one processor may limit the filteredrepresentation of the sub-data visualization by the data having aspecific column heading (e.g., “Status” or “Person”), a specific statuscontained in a cell (e.g., Stuck, Working on it, Done), having aspecific author associated with the data, or any other aspects ofcharacteristics that may be discerned from a particular data object.

By way of example, FIG. 14 illustrates the co-presentation 1400 havingthe filtered representation of the sub-data visualization 1404 and theunfiltered representation of the particular board 1406. The at least oneprocessor may limit the filtered representation of the sub-datavisualization 1404 according to an aspect of a particular data object1414 where the timelines may be limited to only show label associatedwith the status “Done,” “Working on it,” and “Stuck.”

Some embodiments may involve the at least one processor furtherconfigured to enable a selection that may cause a change in a relativemake-up of a display surface area allotted to the representation of theparticular board and the sub-data visualization. A selection may referto a user activating or clicking a slide bar, a bar, an area, a button,a filter selection, a drop-down menu, or any combination thereof toshape, adjust, arrange, or any combination thereof a display on a GUI.The selection may be dynamic where the display may simultaneously changeas the user makes a selection or drags the selection in any direction,or any combination thereof. A change in a relative make-up of a displaymay refer to assigning a plurality of percentages to relative portionsof a display such that the summation of the plurality of percentages mayequal one hundred percent. The plurality of percentages to relativeportions of the display may be associated with a surface area or avolume of the display. For example, the at least one processor mayreceive a selection by a user to allot or allocate fifty percent of thedisplay surface area to the representation of the particular board andfifty percent of the display surface area to the representation of thesub-data visualization. This allocation may be changed through anyinteraction such as a click and drag gesture, an entry of allotted spacefor each representation, and so on.

By way of example, FIG. 14 illustrates the co-presentation 1400 having asub-data visualization 1404 and a representation of a particular board1406 with a horizontal split 1402. The co-presentation view 1400 may berearranged by dragging the horizontal split 1402 in the verticaldirection by a user to cause the at least one processor to change thepercentage surface area for the sub-data visualization 1404 to begreater or smaller than the representation of the particular board 1406.The total percentage of the surface area of the display orco-presentation 1400 constituting the representation of the sub-datavisualization 1404 and the representation of the particular board 1406may be equal to 100%.

FIG. 15 illustrates exemplary block diagram for an exemplary method fora data extraction and mapping system, consistent with some embodimentsof the present disclosure. Method 1500, as shown in FIG. 15, with block1502 may maintain a main data source containing a plurality of dataobjects, as previously discussed. At block 1504, method 1500 maymaintain a plurality of boards for presenting the plurality of dataobjects, as previously discussed. At block 1506, method 1500 maymaintain a plurality of linkages between at least some of the pluralityof data objects that may be associated with differing boards of theplurality of boards, as previously discussed. At block 1508, method 1500may receive a selection of a particular data object associated with aparticular board, as previously discussed. At block 1510, method 1500may identify via a particular linkage of the plurality of linkages atleast one additional data object on another board that may be linked tothe particular object on the particular board, as previously discussed.At block 1512, method 1500 may define a sub-data source where thesub-data source may aggregate the at least one additional data objectand the particular data object, as previously discussed. At block 1514,method 1500 may receive a visualization template selection, aspreviously discussed. At block 1516, method 1500 may map the sub-datasource to the visualization template selection to generate a sub-datavisualization, as previously discussed. At block 1518, method 1500 maycause a co-presentation of a representation of the particular board andthe sub-data visualization, consistent with the disclosure discussedabove.

Aspects of this disclosure may provide a technical solution tochallenges associated with collaborative work systems. Some disclosedembodiments include methods, systems, devices, and computer-readablemedia. For ease of discussion, example system for extrapolatinginformation display visualization is described below with theunderstanding that aspects of the example system apply equally tomethods, devices, and computer-readable media. For example, some aspectsof such system may be implemented by a computing device or softwarerunning thereon. The computing device may include at least one processor(e.g., a CPU, GPU, DSP, FPGA, ASIC, or any circuitry for performinglogical operations on input data) to perform the example systems, asdescribed above. Other aspects of such systems may be implemented over anetwork (e.g., a wired network, a wireless network, or both).

Tools for extrapolating information display visualizations through anitem interface extrapolator are lacking. This may present inefficiencieswith processing information and storage of information when a systemregenerates and re-maps information for visualizations each time itemsare selected for presentation. Accordingly, a system for extrapolatinginformation display visualization through an item interface extrapolatorpresents efficiencies in data processing, reduces costs associated withmemory, distributed memory, communication across multiple networks, andreliability needed in processors, and improves accuracy in thegeneration of an item interface extrapolator with a plurality ofactivatable elements associated with differing visualization of data andthe activatable elements having a first extrapolated display of data ina first manner and a second extrapolated display of data in a secondmanner.

Therefore, there is a need for unconventional methods, systems, devices,and computer-readable media for a system for extrapolating informationdisplay visualizations through an item interface extrapolator that may,upon receipt of a first selection, include a plurality of activatableelements where each of the activatable elements may be associated withdiffering visualization, that may, upon receipt of a second selection ofone of the activatable elements, include a first extrapolated display ofdata associated with a particular item to appear in a first manner, thatmay upon receipt of a third selection of another of the activatableelements, cause a second extrapolated display of data associated withthe particular item to appear in a second manner. By using the disclosedcomputerized method to ascertain extrapolating information displayvisualization through an item interface extrapolator, the embodimentsprovide advantages over prior systems that merely provide extrapolatinginformation.

As another example, some aspects of such a system may be implemented asoperations or program codes in a non-transitory computer-readablemedium. The operations or program codes may be executed by at least oneprocessor. Non-transitory computer readable mediums, as describedherein, may be implemented as any combination of hardware, firmware,software, or any medium capable of storing data that is readable by anycomputing device with a processor for performing methods or operationsrepresented by the stored data. In a broadest sense, the example systemsare not limited to particular physical or electronic instrumentalities,but rather may be accomplished using many differing instrumentalities.

Some disclosed embodiments may relate to a system for extrapolatinginformation display visualization having at least one processor (e.g.,processor, processing circuit or other processing structure describedherein) in collaborative work systems, including methods, devices, andcomputer-readable media. Extrapolating information may refer to the atleast one processor estimating, projecting, extending, expanding,mapping, or any combination thereof from an original set of informationto arrive at a new set of information or visualization. Extrapolatinginformation may also be transforming, rearranging, changing,interpolating, or any combination thereof from one visual medium intoanother visual medium via a display to create a new set of informationbased on the original set of information. A display visualization mayrefer to the at least one processor providing a graphical user interface(GUI) to visually present information. For example, a displayvisualization may include charts, interactive graphics, dynamic oranimated displays of information, or any combination thereof that mayinclude alphanumerics, graphics, or a combination of both.

Some disclosed embodiments may involve maintaining a board with aplurality of items, each item defined by a row of cells, and whereineach cell may be configured to contain data and may be associated with acolumn heading. Maintaining a board may include storing informationassociated with or contained in a board in a repository for storage andaccess. A board may be a structure that may contain data in any format,such as in rows and columns, as described previously above. An item mayinclude any information pertaining to any task, entity, or object, in adata object such as a row or column having a plurality of cells in aboard or table. For example, a plurality of items may refer to each rowin a table. Containing data may include the storage of any type ofinformation in any data object (e.g., cells) such as numbers, texts,characters, formats, characteristics, qualitative or quantitativevariables, units, index, objects, metadata, constants, unstructuredinformation (e.g., web pages, emails, documents, pdfs, scanned text,mainframe reports, spool files, or any other unstructured information),or any combination thereof. A column heading may refer to a valuerepresentative of information in an associated column. Although not arequirement, in some embodiments, a column heading may be descriptiveof, or indicative of, data in the associated column. For example, the atleast one processor may have a board with a plurality of rows andcolumns with cells at intersections of the rows and columns. Each columnmay be associated with a column heading to identify the informationcontained in each of the columns. Each column heading may be inputmanually by a user through any interface (e.g., a keyboard),automatically as a default, or automatically through machine learning todetermine the data type contained in the cells of a column to predict asuitable column heading.

By way of example, the at least one processor may store a board inmemory 120 in FIG. 1, the storage 130 in FIG. 1, or both. FIG. 16illustrates an exemplary board with a plurality of items, each itemdefined by a row of cells, and wherein each cell is configured tocontain data and is associated with a column heading, consistent withsome embodiments of the present disclosure. As illustrated in FIG. 16,the at least one processor may maintain a board 1600 which may be atable 1602. The table 1602 may contain a plurality of rows and columns.An item 1604 may be a row of cells in the table 1602. Cell 1606 of item1604 may be associated with a column heading 1608, which may be part ofcolumn 1610.

Some disclosed embodiments may involve linking at least a first columnto at least a second column so that a change in data in a cell of the atleast first column may cause a change in data of a cell in the at leastsecond column. Reference to first and second columns may refer toconsecutive or non-consecutive columns to identify at least twodifferent columns. Linking at least a first column to at least a secondcolumn may refer to one or more relationships or associations betweenone or more cells in the at least first column and the at least secondcolumn. The at least one processor may cause a change in a cell in theat least second column based on a change in a cell in the at least firstcolumn, or vice versa because of established links or relationshipsbetween the cells of the at least first column and the at least secondcolumn. The cell in the at least first column may not be in the same rowas the cell in the at least second column. Causing a change in data mayrefer to at least one processor altering (e.g., adding, deleting,rearranging), updating, structuring, restructuring, transforming, or anycombination thereof the display or value of data in any data object suchas a cell of a table. For example, a board may have two columnsindicating status information that are linked together such that when acell in the first column is marked with “done,” the associated cell inthe second column will automatically be marked with “complete,”

By way of example, FIG. 16 illustrates the at least one processorchanging cell 1612 to “Done” in the first column 1614, which may cause achange in cell 1616 to “Proceed to Next Phase” in the second column1618. This change may be automatic as a result of the link between thefirst column 1614 and the second column 1618. This link may be defined,for example, by a logical rule.

Some disclosed embodiments may involve receiving a first selection of aparticular item from the board, wherein the particular item may includea plurality of cells with data in each cell, and wherein data in a firstcell of the plurality of cells may be linked to data in a second cell ofthe plurality of cells. Receiving a selection of a particular item on aboard may include receiving an input from any interface (e.g., a mouse,keyboard, touchscreen, and so on) to indicate an intent to select aspecific item on a board. This received input may cause an activation ofthe specific item for further processing. A particular item may refer toa subset of or a specific one or more cells or a plurality of cellswithin an item, as defined above. The cells and the data contained inthem that are associated with a particular item may be considered linkedto each other, as described above. For example, the at least oneprocessor may receive a user's selection of a row of cells of a tablewhere at least two of those cells associated with the row may be linkedtogether.

By way of example, FIG. 16 illustrates the item 1604 that is selected bya user with a cursor interface 1620. The item 1604 may include firstcell 1612, second cell 1616, third cell 1606, and fourth cell 1622 whosedata may be linked to each other.

Some disclosed embodiments may involve, upon receipt of the firstselection, causing a display of an item interface extrapolator, whereinthe item interface extrapolator may include a plurality of activatableelements, each of the activatable elements being associated with adiffering visualization of at least some of the data contained in cellsassociated with the particular item. A display of an item interfaceextrapolator may refer to a GUI window that may display interpolatedand/or extrapolated data (manually, automatically, or with machinelearning) drawn from an item or any other data object. The display ofthe item interface extrapolator may include any visualizations of datathat may be in the form of one or more tables, progress bars asbatteries, Gantt charts, calendars, pie charts, line charts, bar charts,3D charts, forms, maps, density maps, scatter plots, bubble charts, treemaps, rain flow charts, timelines, to do lists, numbers, time trackers,workload displays, llama farm status displays, count-down displays,tabs, filters, sub-GUI windows, objects, or any combination thereof. Theat least one processor may display the item interface extrapolator byappearing in a board's view as a GUI window fully or partially coveringthe virtual space containing the data associated with the board, items,or any other data object. An activatable element may refer to one ormore objects, charts, icons, tabs, folders, figures, sub-GUI windows,buttons, or any combination thereof on the item interface extrapolatorthat may be selected or clicked by a user to activate a furtherprocessing of information or displays. Differing visualizations mayrefer to separate visualizations that may include presentations ofinformation in similar or differing formats.

Some disclosed embodiments may involve receiving a second selection ofone of the activatable elements. A second selection of an activatableelement may refer to an activation of an activatable element inside theitem interface selector, as defined above. Upon receipt of the secondselection, the system may cause a first extrapolated display of dataassociated with the particular item to appear in a first manner. A firstextrapolated display of data in a first manner may refer to a firstvisualization in the item interface extrapolator drawn from dataassociated with a particular item. For example, the at least oneprocessor may receive a user's first selection of a particular item andcause the display of a first GUI window for an item interfaceextrapolator that may be co-presented with a display of a board. Theitem interface extrapolator may include activatable elements that wouldcause different visualizations in different manners to appear in theitem interface extrapolator. The first visualization may be any mannerof visualization such as one or more tables, progress bars as batteries,Gantt charts, calendars, pie charts, line charts, bar charts, 3D charts,forms, maps, density maps, scatter plots, bubble charts, tree maps, rainflow charts, timelines, to do lists, numbers, time trackers, workloaddisplays, llama farm status displays, count-down displays, tabs,filters, sub-GUI windows, objects, or any combination thereof.

FIG. 17 illustrates an exemplary view of causing a display of an iteminterface extrapolator, wherein the item interface extrapolator mayinclude a plurality of activatable elements, consistent with someembodiments of the present disclosure. As illustrated in FIG. 17, view1700 may display a board view 1702 with a selection of a particular item1704. In response to the selection of the particular item 1704, the atleast one processor may cause the display of an item interfaceextrapolator 1706 (that may be in a co-presentation with board view1702) including a first tab (activity log activatable element) 1708, asecond tab (item card activatable element) 1710, and an activity log1712 all associated with data in the cells of the particular item 1704.The visualization of the activity log 1712 may appear in response to theselection of the activity log activatable element 1708 (e.g., the secondselection).

By way of example, the at least one processor may receive a secondselection by storing it in memory 120 in FIG. 1, the storage 130 in FIG.1, or both. FIG. 18 illustrates another exemplary view of causing afirst extrapolated display of data associated with the particular itemto appear in a first manner in response to receipt of a secondselection, consistent with some embodiments of the present disclosure.As illustrated in FIG. 18, in item interface extrapolator 1800, a usermay select the item card activatable element 1802. In response to theselection of the item card activatable element 1802, the at least oneprocessor may cause the display of extrapolated data from the particularitem in an item card visualization 1806. The first extrapolated displayof data 1804 may appear in a first manner where an item cardvisualization 1806 of data of a particular item may be positioned abovea table 1808 in a co-presentation containing a plurality of cellsassociated with the data of the particular item inside the iteminterface extrapolator 1800.

Some disclosed embodiments may involve receiving a third selection ofanother of the activatable elements, and upon receipt of the thirdselection, causing a second extrapolated display of data associated withthe particular item to appear in a second manner. For example, the atleast one processor may receive a third selection by a user where theuser may click on a Gantt chart (the first manner described above) tocause the at least one processor to further display a calendar. Inanother example, the third selection may be made on a second activatableelement in the item interface extrapolator. Similarly to the firstextrapolated display of data, a second extrapolated display of data mayrefer to one or more nested GUI windows within the item interfaceextrapolator or the first extrapolated display of data, one or more GUIwindows independent from the item interface extrapolator or the firstextrapolated display of data, or any combination thereof that maydisplay interpolated and/or extrapolated data with machine learning in aparticular item as one or more activatable elements. Similar to thefirst manner, a second manner may refer to a second visualization in theitem interface extrapolator drawn from data associated with a particularitem that may be similar or different from the first manner. Forexample, the at least one processor may cause the display of a secondextrapolated display of data in a second manner such as a 3D chart thatis in a different manner from a Gantt chart display, in the iteminterface extrapolator.

By way of example, the at least one processor may receive a thirdselection by storing it in memory 120 in FIG. 1, the storage 130 in FIG.1, or both. FIG. 19 illustrates exemplary view of, upon receipt of athird selection, cause a second extrapolated display of data associatedwith the particular item to appear in a second manner, consistent withsome embodiments of the present disclosure. As illustrated in FIG. 19,in item interface extrapolator 1900 may include the display of a firstextrapolated display data 1904. The first extrapolated display data 1904may include item card view 1906 of data of a particular item positionedabove a table 1908 in a co-presentation. A user may make a thirdselection 1910, which may cause the at least one processor to display asecond extrapolated display of data 1912 in a second manner where thesecond extrapolated display of data 1912 may be a calendar placed abovea portion of the item card view 1906 and the table 1908 in the firstextrapolated display of data 1904, which may also be contained in theitem interface extrapolator 1900. In another example in FIG. 17, aselection of a first activatable element such as activity logactivatable element 1708 to cause a visualization of an activity log1712 as the first manner in the item interface extrapolator. The systemmay then receive a selection of a second activatable element such asitem card activatable element 1710 to cause an item card visualization1806 to be presented as a second manner, as shown in FIG. 18.

Some disclosed embodiments may involve the at least one processorfurther configured to receive a fourth selection of a furtheractivatable element, wherein the further activatable element may beconfigured to enable customization of the item interface extrapolator;and upon receipt of the fourth selection, enabling customization of theitem interface extrapolator via a network access device, wherein thecustomization may enable data associated with the particular item toappear in a third customized manner. Similar to the second selection andthe third selection as described above, a fourth selection may refer toactivating one or more activatable elements other than the activatableelements in the third selection inside the item interface extrapolator,inside the first extrapolated display of data, inside the secondextrapolated data, or any combination thereof. A further activatableelement may refer to one or more activatable elements other than thethird selection. A customization of the item interface extrapolator mayrefer to a customized modification to an item interface extrapolatorcaused by a user to rearrange, reorient, reposition, change, reformat,resize, move, or any combination thereof the activated elements and/orvisualizations associated with the item interface extrapolator. Anetwork access device may refer to a computer, a mobile device, atablet, a laptop, or any other related devices associated with a userthat may be capable of accessing the network that the system ismaintained. A third customized manner may refer to the rearrangement,repositioning, relocation, resizing, reorienting, changing,reformatting, moving, or any combination thereof of the activatableelements or visualizations in the customization of the item interfaceextrapolator. In other instances, the third customized manner may be athird visualization that appears in the item interface extrapolator thatis a customized visualization generated by a user. For example, the atleast one processor may receive a fourth selection via a user on adesktop by selecting one or more activated elements that may enable theuser to customize the selection of a timeline, a table, a calendar, anda status bar for display according to specific locations—a thirdcustomized manner—in the item interface extrapolator. In anotherexample, the fourth selection may be of a link to activate a customizedvisualization builder to generate a new, customized visualization thatmay be presented in the item interface extrapolator.

By way of example, the at least one processor may receive a fourthselection by storing it in memory 120 in FIG. 1, the storage 130 in FIG.1, or both. FIG. 20 illustrates exemplary view of, upon receipt of afourth selection, enable customization of the item interfaceextrapolator, wherein the customization enables data associated with theparticular item to appear in a third customized manner, consistent withsome embodiments of the present disclosure. FIG. 20 illustrates acustomization of the item interface extrapolator 2000 where a user maymake a fourth selection of a customization button 2002 to enable theuser to customize a battery status widget 2004, a llama farm statuswidget 2006, a Gantt chart widget 2008, and a bar chart widget 2010. Theselection of the customization button 2002 may also cause a customvisualization builder to appear to enable a user to generate a new,custom visualization to be presented in the item interface extrapolator2000. The user may position the battery status widget 2004 at the topleft, the llama farm status widget 2006 may be placed at the top right,the Gantt chart widget 2008 may be placed under both the battery statuswidget 2004 and the llama farm status widget 2006, and the bar chatwidget may be placed below the Gantt chart widget 2008 in a thirdcustomized manner. In addition to customization of position, otherinstances of customization may involve the configuration of thevisualizations in the item interface extrapolator 2000 such as a lightor dark mode, or any other customization of the visualizations containedtherein.

Some disclosed embodiments may involve the at least one processor tofurther be configured to store the third customized manner as atemplate, and to present the third customized manner as a display optionwhen items other than the particular item may be selected for analysisand display within the item interface extrapolator. A template may referto a GUI window for specifically allowing a user to construct orestablish a visual template for a pre-formatted example of the thirdcustomized manner having one or more activatable elements without thedata associated with the particular item. A template of the thirdcustomized manner may be a skeleton representation of unpopulated dataassociated with the particular item in the one or more activatableelements. Storing the third customized manner as a template may involvestoring one or more visualizations in memory, or may involve storing acustom generated visualization not previously stored in the system forlater use. Presenting a third customized manner as a display option mayrefer to presenting an indication or activatable element to access thethird customized manner. The display option may be indexed by numbers,alphabet letters, alpha-numerical values, or any combination thereof ofone or more lists, vertical array of elements, horizontal array ofelements, matrix containing elements, drop-down menus, or anycombination thereof displaying one or more templates. For example, auser may generate a custom visualization involving a network map thatwas previously unavailable to the system. The user may save this customvisualization as a template, which may then appear as a new activatableelement in the item interface extrapolator to access the customvisualization. The at least one processor may have stored pre-definedtemplates and customized templates in memory. The at least one processormay receive a selection from a user pressing or clicking a button named“template options” on the item interface extrapolator to provide a GUIwindow of display options of templates. The at least one processor maydisplay a plurality of templates of different visualizations andtemplates of visualizations, that may be presented as display options inthe form of activatable element or as numbered elements contained in,for example, a horizontal array that the user may scroll from left toright or vice versa to select from an index. The at least one processormay receive a template from the user selecting one of the displayoptions of templates to be utilized in the item interface extrapolator.In another example, the template may be a third customized manner thatmay be displayed in the item interface interpolator, the board, or anycombination thereof.

By way of example, the at least one processor may store one or moretemplates in memory 120 in FIG. 1, the storage 130 in FIG. 1, or both.FIG. 21 illustrates an exemplary view of one or more stored templates ofone or more of the third customized manners shown as a display optionwhen items other than the particular item are selected for analysis anddisplay within the item interface extrapolator, consistent with someembodiments of the present disclosure. As illustrated in FIG. 21, iteminterface extrapolator 2100 may include an activatable element 2102 toaccess template visualizations such as a custom visualization 2104 thatmay have been generated by a user, or may have been provided as apreset. A user may select a template 2106 from the index of theplurality of templates for display as the third customized manner in theitem interface extrapolator 2100.

Some disclosed embodiments may involve the at least one processor tofurther be configured to cause a simultaneous display of the iteminterface extrapolator and at least a portion of the particular item. Atleast a portion of the particular item may refer to the display of theparticular item of a board being completely or partially covered oruncovered by the item interface extrapolator. For example, the at leastone processor may cover 50% of the particular item with the iteminterface extrapolator where the item extrapolator may be automaticallyresized by the at least one processor to occupy the remaining 50% of theparticular item covered in addition to the item interface extrapolator'soriginal size. In another example, the at least one processor may cover75% of the particular item with the item interface extrapolator wherethe item extrapolator may be automatically resized by the at least oneprocessor to occupy the remaining 75% of the particular item covered inaddition to the item interface extrapolator's original size. In yetanother example, the at least one processor may cover all of theparticular item selected by the user causing a single window of the iteminterface extrapolator.

By way of example, FIG. 17 illustrates the particular item 1704 beingpartially covered by the item interface extrapolator 1706.

Some disclosed embodiments may involve the at least one processor tofurther be configured to migrate the item interface extrapolator forco-presentation with a representation other than the board. Migrate theitem interface extrapolator may refer to the at least one processormoving or relocating the item interface extrapolator from one platform(i.e., a first board) to another distinct or associated platform (i.e.,a second board). A co-presentation may refer to the at least oneprocessor simultaneously displaying information such as from aparticular board and an item interface extrapolator containingextrapolated displays of data. The at least one processor may alsosimultaneously display the item interface extrapolator having dataassociated with a particular item of a first board with the extrapolateddisplay of data from a particular item from a second board. For example,the at least one processor may cause a co-presentation of a table in anitem interface extrapolator, a timeline chart and Gantt chart in a firstextrapolated display, and a battery status chart in a secondextrapolated display of data from a second table. In another example,the at least one processor may cause a co-presentation of a table, allama farm status, and a battery status in the item interfaceextrapolator. A representation other than the board may include arepresentation associated with a particular board (e.g., in a tablerepresentation), aside from the presentation of the particular boarditself (e.g., not in a table representation or in the original tablerepresentation).

By way of example, FIG. 22 illustrates an exemplary migration of an iteminterface extrapolator for co-presentation with a representation otherthan the board, consistent with some embodiments of the presentdisclosure. As illustrated in FIG. 22, the at least one processor mayhave migrated item interface extrapolator 2200 from a first board whereactivatable elements 2202 associated with the item interfaceextrapolator 2200 may display data associated with a particular item inthe first board. The at least one processor may cause a co-presentationof the item interface extrapolator 2200 with a representation other thanthe board such as, for example, an aggregate of data from two boards2204.

Some disclosed embodiments may involve the at least one processor tofurther be configured to, upon receipt of a filter selection, cause aco-presentation to reflect an unfiltered representation of the board anda filtered representation of the item interface extrapolator. A filterselection may refer to a selection received from any interface toindicate an intent to filter any information. A filter may refer to anyhigher-order function or method that may process an original data object(e.g., items in a list, items in a column, items a row, items in table,items in a chart, items in a map, items in a display, or any combinationthereof) in some order to produce a new data object containing a subsetof the elements of the original data object in another form, order, ordisplay to present information related to the filter. The filter may bedisplayed as a GUI window containing a plurality of drop-down menus,drop-down lists, list boxes, radio buttons or any combination thereoffor a user to select from and filter the data in the one or more items,one or more particular items, or any combination thereof. An unfilteredrepresentation of the board may refer to the presentation of a tablewithout an applicated filter selection (e.g., the originalrepresentation of the table). A filtered representation of the iteminterface extrapolator may refer to the presentation of the iteminterface extrapolator related to data in a particular item where theuser may have applied a filter selection, as discussed above, to theitem interface extrapolator presentation. For example, the at least oneprocessor may cause the display of a co-presentation via a horizontalsplit, a vertical spit, or another suitable split in the display. The atleast one processor may place an unfiltered representation of a board inone of the splits in the display and place the filtered representationof the item interface extrapolator in the other split of the display.The unfiltered representation of the board may be a table with aplurality of items containing data related to one or more particularitems. The filtered representation of the item interface extrapolatormay be a timeline of data related the particular items where a filterselection may have been executed by a user.

FIG. 23 illustrates an exemplary view of a co-presentation to reflect anunfiltered representation of a board and a filtered representation of anitem interface extrapolator upon receipt of a filter selection,consistent with some embodiments of the present disclosure. Asillustrated in FIG. 23, a co-presentation 2300 may be displayed by theat least one processor with a split 2302, a filtered representation ofan item interface extrapolator 2304 located above the split 2302, and anunfiltered representation of a board 2306 located below the split 2302.The unfiltered representation of the particular board 2306 may be atable containing data associated with two boards (a particularboard—“Board 1”—and another board—“Board 2”). The filteredrepresentation of the item interface extrapolator 2304 may be, forexample, a Gantt chart showing the due dates from the data in theparticular item associated with “Board 1” and “Board 2” in the table ofthe unfiltered representation of the board 2306. The filteredrepresentation of the item interface extrapolator 2304 may contain afilter 2308 containing a plurality of drop-down menus. A filterselection 2310 made by a user may be received by the at least oneprocessor to display timelines in the Gantt chart according to colorcodes associated with data associated with the particular item including“Board 2.”

Some disclosed embodiments may involve the filtered representation beinglimited by a time period. A time period may refer any metric of timesuch as a period by minutes, hours, days, weeks, months, years, or anycombination thereof. For example, the at least one processor may limitthe data displayed in the filtered representation of the item interfaceextrapolator by weeks such that the timeline may display tasks by weeksin a given month.

By way of example, FIG. 23 illustrates the co-presentation 2300 havingthe filtered representation of the item interface extrapolator 2304. Theat least one processor may display the filtered representation of theitem interface extrapolator 2304 based on a selection 2312 to limit thedisplay of time on the timeline by “Days.”

FIG. 24 illustrates exemplary block diagram for an exemplary method fora data extraction and mapping system, consistent with some embodimentsof the present disclosure. Method 2400, as shown in FIG. 24, with block2402 may maintain a board with a plurality of items, each item definedby a row of cells, and wherein each cell may be configured to containdata and is associated with a column heading, as previously discussed.At block 2404, method 2400 may link at least a first column to at leasta second column so that a change in data in a cell of the at least firstcolumn may cause a change in data of a cell in the at least secondcolumn, as described previously above. At block 2406, method 2400 mayreceive a first selection of a particular item from the board, whereinthe particular item may include a plurality of cells with data in eachcell, and wherein data in a first cell of the plurality of cells may belinked to data in a second cell of the plurality of cells, as previouslydiscussed. At block 2408, method 2400 may, upon receipt of the firstselection, cause a display of an item interface extrapolator, whereinthe item interface extrapolator may include a plurality of activatableelements, each of the activatable elements being associated with adiffering visualization of at least some of the data contained in cellsassociated with the particular item, as previously discussed. At block2410, method 2400 may receive a second selection of one of theactivatable elements, as discussed previously. At block 2412, method2400 may, upon receipt of the second selection, cause a firstextrapolated display of data associated with the particular item toappear in a first manner, as previously discussed. At block 2414, method2400 may receive a third selection of another of the activatableelements, as previously discussed. At block 2416, method 2400 may, uponreceipt of the third selection, cause a second extrapolated display ofdata associated with the particular item to appear in a second manner,consistent with the disclosure discussed above.

Unless otherwise defined, all technical and scientific terms used hereinhave the same meaning as commonly understood by one of ordinary skill inthe art. The materials, methods, and examples provided herein areillustrative only and not intended to be limiting.

Implementation of the method and system of the present disclosure mayinvolve performing or completing certain selected tasks or stepsmanually, automatically, or a combination thereof. Moreover, accordingto actual instrumentation and equipment of preferred embodiments of themethod and system of the present disclosure, several selected steps maybe implemented by hardware (HW) or by software (SW) on any operatingsystem of any firmware, or by a combination thereof. For example, ashardware, selected steps of the disclosure could be implemented as achip or a circuit. As software or algorithm, selected steps of thedisclosure could be implemented as a plurality of software instructionsbeing executed by a computer using any suitable operating system. In anycase, selected steps of the method and system of the disclosure could bedescribed as being performed by a data processor, such as a computingdevice for executing a plurality of instructions.

As used herein, the terms “machine-readable medium” “computer-readablemedium” refers to any computer program product, apparatus and/or device(e.g., magnetic discs, optical disks, memory, Programmable Logic Devices(PLDs)) used to provide machine instructions and/or data to aprogrammable processor, including a machine-readable medium thatreceives machine instructions as a machine-readable signal. The term“machine-readable signal” refers to any signal used to provide machineinstructions and/or data to a programmable processor.

Various implementations of the systems and techniques described here canbe realized in digital electronic circuitry, integrated circuitry,specially designed ASICs (application specific integrated circuits),computer hardware, firmware, software, and/or combinations thereof.These various implementations can include implementation in one or morecomputer programs that are executable and/or interpretable on aprogrammable system including at least one programmable processor, whichmay be special or general purpose, coupled to receive data andinstructions from, and to transmit data and instructions to, a storagesystem, at least one input device, and at least one output device.

Although the present disclosure is described with regard to a “computingdevice”, a “computer”, or “mobile device”, it should be noted thatoptionally any device featuring a data processor and the ability toexecute one or more instructions may be described as a computing device,including but not limited to any type of personal computer (PC), aserver, a distributed server, a virtual server, a cloud computingplatform, a cellular telephone, an IP telephone, a smartphone, a smartwatch or a PDA (personal digital assistant). Any two or more of suchdevices in communication with each other may optionally comprise a“network” or a “computer network”.

To provide for interaction with a user, the systems and techniquesdescribed here can be implemented on a computer having a display device(a LED (light-emitting diode), or OLED (organic LED), or LCD (liquidcrystal display) monitor/screen) for displaying information to the userand a keyboard and a pointing device (e.g., a mouse or a trackball) bywhich the user can provide input to the computer. Other kinds of devicescan be used to provide for interaction with a user as well; for example,feedback provided to the user can be any form of sensory feedback (e.g.,visual feedback, auditory feedback, or tactile feedback); and input fromthe user can be received in any form, including acoustic, speech, ortactile input.

The systems and techniques described here can be implemented in acomputing system that includes a back end component (e.g., as a dataserver), or that includes a middleware component (e.g., an applicationserver), or that includes a front end component (e.g., a client computerhaving a graphical user interface or a Web browser through which a usercan interact with an implementation of the systems and techniquesdescribed here), or any combination of such back end, middleware, orfront end components. The components of the system can be interconnectedby any form or medium of digital data communication (e.g., acommunication network). Examples of communication networks include alocal area network (“LAN”), a wide area network (“WAN”), and theInternet.

The computing system can include clients and servers. A client andserver are generally remote from each other and typically interactthrough a communication network. The relationship of client and serverarises by virtue of computer programs running on the respectivecomputers and having a client-server relationship to each other.

It should be appreciated that the above described methods and apparatusmay be varied in many ways, including omitting or adding steps, changingthe order of steps and the type of devices used. It should beappreciated that different features may be combined in different ways.In particular, not all the features shown above in a particularembodiment or implementation are necessary in every embodiment orimplementation of the invention. Further combinations of the abovefeatures and implementations are also considered to be within the scopeof some embodiments or implementations of the invention.

While certain features of the described implementations have beenillustrated as described herein, many modifications, substitutions,changes and equivalents will now occur to those skilled in the art. Itis, therefore, to be understood that the appended claims are intended tocover all such modifications and changes as fall within the scope of theimplementations. It should be understood that they have been presentedby way of example only, not limitation, and various changes in form anddetails may be made. Any portion of the apparatus and/or methodsdescribed herein may be combined in any combination, except mutuallyexclusive combinations. The implementations described herein can includevarious combinations and/or sub-combinations of the functions,components and/or features of the different implementations described.

Disclosed embodiments may include any one of the followingbullet-pointed features alone or in combination with one or more otherbullet-pointed features, whether implemented as a method, by at leastone processor, and/or stored as executable instructions onnon-transitory computer-readable media:

-   -   associating a user-ID with a workflow management account;    -   maintaining a plurality of workflow management boards associated        with the workflow management account;    -   receiving a first plurality of touch points associated with the        user-ID;    -   based on the first plurality of touch points, customizing the        workflow management account by initially altering at least one        of a column option picker, an automation option picker, a        third-party application integration picker, a display interface        picker, or a solution picker;    -   monitoring activity associated with the workflow management        account;    -   receiving, based on the monitoring, a second plurality of touch        points associated with the user-ID;    -   adjusting the customized workflow management account by        subsequently altering, based on the second plurality of touch        points at least one of the column option picker, the automation        option picker, the third-party application integration picker,        the display interface picker, or the solution picker;    -   permitting a plurality of entities to have access to the        plurality of workflow management boards;    -   wherein the second plurality of touch points includes at least        one touch point received from a first entity of the plurality of        entities and at least one touch point received from a second        entity of the plurality of entities;    -   wherein the subsequent altering results in a common        visualization to both the first entity and the second entity;    -   permitting a plurality of entities to access the plurality of        workflow management boards;    -   wherein the second plurality of touch points includes at least        one touch point received from a first entity of the plurality of        entities and a touch point received from a second entity of the        plurality of entities;    -   wherein subsequently altering results in an altered customized        visualization for the first entity different from an altered        customized visualization for the second entity;    -   wherein at least one of the first plurality of touch points and        the second plurality of touch points are derived from responses        to queries;    -   wherein the queries seek a field identification;    -   wherein at least one of the first plurality of touch points and        the second plurality of touch points are derived from actions        monitored in the workflow management account;    -   wherein the actions monitored are associated with a plurality of        entities;    -   wherein actions of a first of the plurality of entities cause        customization differing from customization caused by actions of        a second of the plurality of entities;    -   wherein the first plurality of touch points includes a primary        touch point identifying a field, a secondary touch point        identifying an endeavor, and a tertiary touch point identifying        a tool;    -   receiving an additional plurality of touch points and to further        customize the workflow management account based on the        additional plurality of touch points;    -   analyzing behavior associated with the workflow management        account, and to derive the second touch points based on the        analysis of the behavior;    -   maintaining a main data source containing a plurality of data        objects;    -   maintaining a plurality of boards for presenting the plurality        of data objects;    -   maintaining a plurality of linkages between at least some of the        plurality of data objects associated with differing boards of        the plurality of boards;    -   receiving a selection of a particular data object associated        with a particular board;    -   identifying via a particular linkage of the plurality of        linkages at least one additional data object on another board        linked to the particular data object on the particular board;    -   defining a sub-data source, the sub-data source aggregating the        at least one additional data object and the particular data        object;    -   receiving a visualization template selection;    -   mapping the sub-data source to the visualization template        selection to generate a sub-data visualization;    -   causing a co-presentation of a representation of the particular        board and the sub-data visualization;    -   wherein the plurality of linkages is defined by at least one of        a folder, an automatic rule, a manually defined rule, a column        heading, a row designation, a data cell value, or an item;    -   wherein the at least some of the plurality of data objects        associated with differing boards include multiple data objects        from each of the differing boards;    -   presenting an index of a plurality of visualization templates;    -   wherein the received visualization template selection is based        on a selection from the index;    -   migrating the sub-data visualization for co-presentation with a        representation other than the representation of the particular        board;    -   upon receipt of a filter selection, cause the co-presentation to        reflect an unfiltered representation of the particular board and        a filtered representation of the sub-data visualization;    -   wherein the filtered representation is limited by a time period;    -   wherein the filtered representation is limited by a specific        aspect of the particular data object;    -   enabling a selection causing a change in a relative make-up of a        display surface area allotted to the representation of the        particular board and the sub-data visualization;    -   wherein the sub-data visualization is presented within a        container;    -   associating a computing application to the sub-data source to        thereby alter the sub-data visualization;    -   maintaining a board with a plurality of items, each item defined        by a row of cells;    -   wherein each cell is configured to contain data and is        associated with a column heading;    -   linking at least a first column to at least a second column so        that a change in data in a cell of the at least first column        causes a change in data of a cell in the at least second column;    -   receiving a first selection of a particular item from the board,        wherein the particular item includes a plurality of cells with        data in each cell;    -   wherein data in a first cell of the plurality of cells is linked        to data in a second cell of the plurality of cells;    -   upon receipt of the first selection, causing a display of an        item interface extrapolator;    -   wherein the item interface extrapolator includes a plurality of        activatable elements, each of the activatable elements being        associated with a differing visualization of at least some of        the data contained in cells associated with the particular item;    -   receiving a second selection of one of the activatable elements;    -   upon receipt of the second selection, causing a first        extrapolated display of data associated with the particular item        to appear in a first manner;    -   receiving a third selection of another of the activatable        elements;    -   upon receipt of the third selection, causing a second        extrapolated display of data associated with the particular item        to appear in a second manner;    -   receiving a fourth selection of a further activatable element;    -   wherein the further activatable element is configured to enable        customization of the item interface extrapolator;    -   upon receipt of the fourth selection, enabling customization of        the item interface extrapolator via a network access device;    -   wherein the customization enables data associated with the        particular item to appear in a third customized manner;    -   storing the third customized manner as a template, and to        present the third customized manner as a display option when        items other than the particular item are selected for analysis        and display within the item interface extrapolator;    -   causing a simultaneous display of the item interface        extrapolator and at least a portion of the particular item;    -   migrating the item interface extrapolator for co-presentation        with a representation other than the board;    -   upon receipt of a filter selection, causing a co-presentation to        reflect an unfiltered representation of the board and a filtered        representation of the item interface extrapolator; and    -   wherein the filtered representation is limited by a time period.

Systems and methods disclosed herein involve unconventional improvementsover conventional approaches. Descriptions of the disclosed embodimentsare not exhaustive and are not limited to the precise forms orembodiments disclosed. Modifications and adaptations of the embodimentswill be apparent from consideration of the specification and practice ofthe disclosed embodiments. Additionally, the disclosed embodiments arenot limited to the examples discussed herein.

The foregoing description has been presented for purposes ofillustration. It is not exhaustive and is not limited to the preciseforms or embodiments disclosed. Modifications and adaptations of theembodiments will be apparent from consideration of the specification andpractice of the disclosed embodiments. For example, the describedimplementations include hardware and software, but systems and methodsconsistent with the present disclosure may be implemented as hardwarealone.

It is appreciated that the above described embodiments can beimplemented by hardware, or software (program codes), or a combinationof hardware and software. If implemented by software, it can be storedin the above-described computer-readable media. The software, whenexecuted by the processor can perform the disclosed methods. Thecomputing units and other functional units described in the presentdisclosure can be implemented by hardware, or software, or a combinationof hardware and software. One of ordinary skill in the art will alsounderstand that multiple ones of the above described modules/units canbe combined as one module or unit, and each of the above describedmodules/units can be further divided into a plurality of sub-modules orsub-units.

The block diagrams in the figures illustrate the architecture,functionality, and operation of possible implementations of systems,methods, and computer hardware or software products according to variousexample embodiments of the present disclosure. In this regard, eachblock in a flowchart or block diagram may represent a module, segment,or portion of code, which includes one or more executable instructionsfor implementing the specified logical functions. It should beunderstood that in some alternative implementations, functions indicatedin a block may occur out of order noted in the figures. For example, twoblocks shown in succession may be executed or implemented substantiallyconcurrently, or two blocks may sometimes be executed in reverse order,depending upon the functionality involved. Some blocks may also beomitted. It should also be understood that each block of the blockdiagrams, and combination of the blocks, may be implemented by specialpurpose hardware-based systems that perform the specified functions oracts, or by combinations of special purpose hardware and computerinstructions.

In the foregoing specification, embodiments have been described withreference to numerous specific details that can vary from implementationto implementation. Certain adaptations and modifications of thedescribed embodiments can be made. Other embodiments can be apparent tothose skilled in the art from consideration of the specification andpractice of the invention disclosed herein. It is intended that thespecification and examples be considered as example only, with a truescope and spirit of the invention being indicated by the followingclaims. It is also intended that the sequence of steps shown in figuresare only for illustrative purposes and are not intended to be limited toany particular sequence of steps. As such, those skilled in the art canappreciate that these steps can be performed in a different order whileimplementing the same method.

It will be appreciated that the embodiments of the present disclosureare not limited to the exact construction that has been described aboveand illustrated in the accompanying drawings, and that variousmodifications and changes may be made without departing from the scopethereof.

Other embodiments will be apparent to those skilled in the art fromconsideration of the specification and practice of the disclosedembodiments disclosed herein. It is intended that the specification andexamples be considered as exemplary only, with a true scope and spiritof the disclosed embodiments being indicated by the following claims.

Computer programs based on the written description and methods of thisspecification are within the skill of a software developer. The variousprograms or program modules can be created using a variety ofprogramming techniques. One or more of such software sections or modulescan be integrated into a computer system, non-transitory computerreadable media, or existing software.

Moreover, while illustrative embodiments have been described herein, thescope includes any and all embodiments having equivalent elements,modifications, omissions, combinations (e.g., of aspects across variousembodiments), adaptations or alterations based on the presentdisclosure. The elements in the claims are to be interpreted broadlybased on the language employed in the claims and not limited to examplesdescribed in the present specification or during the prosecution of theapplication. These examples are to be construed as non-exclusive.Further, the steps of the disclosed methods can be modified in anymanner, including by reordering steps or inserting or deleting steps. Itis intended, therefore, that the specification and examples beconsidered as exemplary only, with a true scope and spirit beingindicated by the following claims and their full scope of equivalents.

What is claimed is:
 1. A system for extrapolating information displayvisualizations, the system comprising: at least one processor configuredto: maintain a board with a plurality of items, each item defined by arow of cells, and wherein each cell is configured to contain data and isassociated with a column heading; link at least a first column to atleast a second column so that a change in data in a cell of the at leastfirst column causes a change in data of a cell in the at least secondcolumn; receive a first selection of a particular item from the board,wherein the particular item includes a plurality of cells with data ineach cell, and wherein data in a first cell of the plurality of cells islinked to data in a second cell of the plurality of cells; upon receiptof the first selection, cause a display of an item interfaceextrapolator, wherein the item interface extrapolator includes aplurality of activatable elements, each of the activatable elementsbeing associated with a differing visualization of at least some of thedata contained in cells associated with the particular item; receive asecond selection of one of the activatable elements; upon receipt of thesecond selection, cause a first extrapolated display of data associatedwith the particular item to appear in a first manner; receive a thirdselection of another of the activatable elements; and upon receipt ofthe third selection, cause a second extrapolated display of dataassociated with the particular item to appear in a second manner.
 2. Thesystem of claim 1, wherein the at least one processor is furtherconfigured to receive a fourth selection of a further activatableelement, wherein the further activatable element is configured to enablecustomization of the item interface extrapolator; and upon receipt ofthe fourth selection, enable customization of the item interfaceextrapolator via a network access device, wherein the customizationenables data associated with the particular item to appear in a thirdcustomized manner.
 3. The system of claim 2, wherein the at least oneprocessor is further configured to store the third customized manner asa template, and to present the third customized manner as a displayoption when items other than the particular item are selected foranalysis and display within the item interface extrapolator.
 4. Thesystem of claim 1, wherein the at least one processor is furtherconfigured to cause a simultaneous display of the item interfaceextrapolator and at least a portion of the particular item.
 5. Thesystem of claim 1, wherein the at least one processor is configured tomigrate the item interface extrapolator for co-presentation with arepresentation other than the board.
 6. The system of claim 1, whereinthe at least one processor is configured to, upon receipt of a filterselection, cause a co-presentation to reflect an unfilteredrepresentation of the board and a filtered representation of the iteminterface extrapolator.
 7. The system of claim 6, wherein the filteredrepresentation is limited by a time period.
 8. A non-transitory computerreadable medium containing instructions that when executed by at leastone processor, cause the at least one processor to perform operationsfor extrapolating information display visualizations, the operationscomprising: maintaining a board with a plurality of items, each itemdefined by a row of cells, and wherein each cell is configured tocontain data and is associated with a column heading; linking at least afirst column to at least a second column so that a change in data in acell of the at least first column causes a change in data of a cell inthe at least second column; receiving a first selection of a particularitem from the board, wherein the particular item includes a plurality ofcells with data in each cell, and wherein data in a first cell of theplurality of cells is linked to data in a second cell of the pluralityof cells; upon receipt of the first selection, causing a display of anitem interface extrapolator, wherein the item interface extrapolatorincludes a plurality of activatable elements, each of the activatableelements being associated with a differing visualization of at leastsome of the data contained in cells associated with the particular item;receiving a second selection of one of the activatable elements; uponreceipt of the second selection, causing a first extrapolated display ofdata associated with the particular item to appear in a first manner;receiving a third selection of another of the activatable elements; andupon receipt of the third selection, causing a second extrapolateddisplay of data associated with the particular item to appear in asecond manner.
 9. The non-transitory computer readable medium of claim8, wherein the operations further comprise receiving a fourth selectionof a further activatable element, wherein the further activatableelement is configured to enable customization of the item interfaceextrapolator; and upon receipt of the fourth selection, enablingcustomization of the item interface extrapolator via a network accessdevice, wherein the customization enables data associated with theparticular item to appear in a third customized manner.
 10. Thenon-transitory computer readable medium of claim 9, wherein theoperations further comprise storing the third customized manner as atemplate, and to present the third customized manner as a display optionwhen items other than the particular item are selected for analysis anddisplay within the item interface extrapolator.
 11. The non-transitorycomputer readable medium of claim 8, wherein the operations furthercomprise causing a simultaneous display of the item interfaceextrapolator and at least a portion of the particular item.
 12. Thenon-transitory computer readable medium of claim 8, wherein theoperations further comprise migrating the item interface extrapolatorfor co-presentation with a representation other than the board.
 13. Thenon-transitory computer readable medium of claim 8, wherein theoperations further comprise, upon receipt of a filter selection, causinga co-presentation to reflect an unfiltered representation of the boardand a filtered representation of the item interface extrapolator. 14.The non-transitory computer readable medium of claim 8, wherein thefiltered representation is limited by a time period.
 15. A method forextrapolating information display visualizations, the method comprising:maintaining a board with a plurality of items, each item defined by arow of cells, and wherein each cell is configured to contain data and isassociated with a column heading; linking at least a first column to atleast a second column so that a change in data in a cell of the at leastfirst column causes a change in data of a cell in the at least secondcolumn; receiving a first selection of a particular item from the board,wherein the particular item includes a plurality of cells with data ineach cell, and wherein data in a first cell of the plurality of cells islinked to data in a second cell of the plurality of cells; upon receiptof the first selection, causing a display of an item interfaceextrapolator, wherein the item interface extrapolator includes aplurality of activatable elements, each of the activatable elementsbeing associated with a differing visualization of at least some of thedata contained in cells associated with the particular item; receiving asecond selection of one of the activatable elements; upon receipt of thesecond selection, causing a first extrapolated display of dataassociated with the particular item to appear in a first manner;receiving a third selection of another of the activatable elements; andupon receipt of the third selection, causing a second extrapolateddisplay of data associated with the particular item to appear in asecond manner.
 16. The method of claim 15, further comprising receivinga fourth selection of a further activatable element, wherein the furtheractivatable element is configured to enable customization of the iteminterface extrapolator; and upon receipt of the fourth selection,enabling customization of the item interface extrapolator via a networkaccess device, wherein the customization enables data associated withthe particular item to appear in a third customized manner.
 17. Themethod of claim 16, further comprising storing the third customizedmanner as a template, and to present the third customized manner as adisplay option when items other than the particular item are selectedfor analysis and display within the item interface extrapolator.
 18. Themethod of claim 15, further comprising causing a simultaneous display ofthe item interface extrapolator and at least a portion of the particularitem.
 19. The method of claim 15, further comprising migrating the iteminterface extrapolator for co-presentation with a representation otherthan the board.
 20. The method of claim 15, further comprising, uponreceipt of a filter selection, causing a co-presentation to reflect anunfiltered representation of the board and a filtered representation ofthe item interface extrapolator.